BytePlus API

Dola Seed 2.1 Turbo is ByteDance's faster, lower-cost variant in the Seed 2.1 family, offered internationally through BytePlus's Model Ark platform. It accepts text, image, and video input, with a 256K context window and function calling for agent workflows. On ByteDance's own benchmarks against Claude Opus 4.7, GPT-5.5, and Gemini 3.1 Pro, Turbo scores 89 on VideoMME for long video understanding and 79.2 on OVOBench for streaming video, ahead of Gemini 3.1 Pro's 86.7 and 64.1. It scores 88.0 on BeyondAIME reasoning, above Seed 2.1 Pro's 87.0. On knowledge tests like SuperGPQA it trails GPT-5.5 and Gemini. These are vendor-reported figures, not independently verified. It suits high-volume API use such as video analysis, document processing, and agent pipelines, where cost and video handling matter more than peak coding scores.

Dola Seedream 5.0 Pro is ByteDance's Seedream 5.0 Pro image generation and editing model, offered here through BytePlus's ModelArk API under the "Dola" branding BytePlus uses across its hosted model lineup. It generates images as independently editable layers, separating subjects, text, and background so pieces can be repositioned or swapped after generation. It supports pixel-level editing through selection points, arrows, and annotation boxes, reads color codes and material specifications, and renders text across 14 or more languages including Arabic, Korean, Thai, French, Russian, and Japanese. On Artificial Analysis's independent Text-to-Image Elo leaderboard it scores 1,283, ranking 8th overall, ahead of Black Forest Labs' FLUX.2 Max (1,233) and just behind Google's Nano Banana Pro (1,299). It fits production teams that need layered, editable output and multilingual text rather than a single flattened image.

GLM-5.2 is an open-weight Mixture-of-Experts model from Zhipu AI (Z.ai), available here through BytePlus's hosted API. The model has roughly 744 billion total parameters and a 1 million token context window, and Z.ai released its weights under an MIT license. GLM-5.2 is built for coding, particularly long-horizon and agentic coding tasks. On SWE-bench Pro it scored 62.1, ahead of GPT-5.5 (58.6) and its predecessor GLM-5.1 (58.4). On the Artificial Analysis Intelligence Index it scored 51, the highest score among open-weight models at release. It suits teams building coding agents or working with large codebases who want an open-weight model, accessed here through BytePlus's API instead of self-hosting.

Dreamina Seedance 2.0 Mini is the smallest, most economical tier of ByteDance's Seedance 2.0 video family, distributed under the Dreamina brand and hosted here via BytePlus. BytePlus positions it as roughly twice as fast as the Fast tier and about half the list price of the full Seedance 2.0 model, while still accepting image, video, and audio references alongside a text prompt. Output is capped at 720p and 480p with clips up to 15 seconds at 24fps, the same resolution ceiling as the Fast tier. ByteDance markets it for everyday production work such as brainstorming, quick mockups, and short-form video, where cost and turnaround matter more than peak quality.

Seed 2.0 Mini is ByteDance's smallest and cheapest model in the Seed 2.0 family, available here through BytePlus's hosting (ByteDance's own cloud AI platform, Model Ark). It handles text, image, and video input with tool calling and a 256K context window. ByteDance built it for high-throughput, latency-sensitive workloads rather than deep reasoning. On benchmarks it scores 87.0 on AIME 2025, 67.9 on SWE-Bench Verified, 1644 on Codeforces, and 81.2 on VideoMME, lower than the Pro and Lite models in the same family. At $0.10 per million input tokens and $0.40 per million output tokens, it suits batch classification, content moderation, high-volume chat, and other cost-sensitive API workloads where speed and price matter more than peak capability.

Seed 2.0 Lite is ByteDance's mid-tier general-purpose language model, available here through BytePlus's hosting of ByteDance's Model Ark platform. It handles a 256K context window, supports tool calling, and accepts text, image, and video input, with text-only output. On benchmarks ByteDance has reported, it scores 93.0 on AIME 2025, a 2233 Codeforces rating, 81.7 on LiveCodeBench v6, and 73.5 on SWE-Bench Verified. Third-party testing found it ahead of Gemini 3.1 Pro Preview on AIME 2025 and close on MMLU-Pro (87.7 vs 89.8), though behind on SWE-Bench Verified and limited to a smaller context window than Gemini's 1M tokens. As the Lite tier of the Seed 2.0 family, it costs a fraction of the Pro variant per token, suited to high-volume production use like document summarization, customer support, and agent workflows where cost per call matters. This entry is the April 28, 2026 pinned snapshot of the model.

DeepSeek V4 Flash is a Mixture-of-Experts model from DeepSeek, made available here through BytePlus's ModelArk platform. It has 284 billion total parameters with 13 billion activated per token, and supports a 1 million token context window with three reasoning modes (non-think, think high, and think max). In think-max mode, DeepSeek reports 91.6 on LiveCodeBench, 88.1 on GPQA Diamond, and 86.2 on MMLU-Pro, close to the larger V4 Pro's scores on the same benchmarks. Flash reaches most of Pro's reasoning quality at a fraction of the active parameter count. The model is built as the fast, lower-cost member of the V4 family, aimed at coding assistants, chat systems, and agent workflows where response speed and per-token cost matter as much as raw accuracy. Tool calling is supported, so it works in the same agentic pipelines used with DeepSeek's larger models.

DeepSeek V4 Pro is a 1.6 trillion-parameter Mixture-of-Experts model from DeepSeek, with 49 billion parameters activated per token. Here it's made available through BytePlus's Model Ark hosting. DeepSeek released it under the MIT license as an open-weight model. The company reports it leads open-source models on math, coding, and STEM reasoning benchmarks. On LiveCodeBench it scores 93.5 in DeepSeek's reported testing, and on SWE-bench Verified it scores 80.6%, matching Gemini 3.1 Pro's reported score on that benchmark. It supports a 1M-token context window and tool calling, which suits long-running coding agents, large codebase review, and other tasks where extended context and multi-step reasoning matter.

Seed 2.0 Code Preview is ByteDance's coding-focused model from the Seed 2.0 family, offered here through BytePlus, ByteDance's cloud AI platform. The 260328 in the id marks a dated snapshot from March 28, 2026, so behavior stays fixed as ByteDance updates the model. It's built for agentic software work such as generating code, debugging, and repository-level tasks like reviewing and revising changes across multiple files, rather than single-line autocomplete. Alongside text, it takes image and video input, so screenshots, design mockups, or short screen recordings can be included directly in a coding request. With a 256K context window, up to 128K output tokens, and tool calling, it fits agent pipelines that need to read a large codebase and act on it. As a preview model, it suits testing and evaluation ahead of a stable release rather than production workloads that need long-term stability.

Seed 2.0 Pro is ByteDance's flagship reasoning and coding model, accessible here through BytePlus's hosting as a dated snapshot (260328, a March 28, 2026 build). It handles text, image, and video input and is built for long-chain reasoning, coding, and agent workflows. ByteDance reports 98.3 on AIME 2025, 87.8 on LiveCodeBench v6, and 76.5% on SWE-Bench Verified, with a Codeforces rating of 3020. On agent benchmarks it reaches 90.4 on tau2-Bench Retail and 77.3 on BrowseComp, and it ranks sixth on the LMArena leaderboard alongside GPT-5.2, Claude Opus 4.5, and Gemini 3 Pro. With a 256K context window, 128K max output, and tool calling, it fits coding agents and multi-step workflows that need a long context and function calling. Pinning this snapshot keeps behavior stable for workloads tuned against a specific build.

Seed 2.0 Lite is ByteDance's mid-tier general-purpose language model, available here through BytePlus's hosting of ByteDance's Model Ark platform. It handles a 256K context window, supports tool calling, and accepts text, image, and video input, with text-only output. On benchmarks ByteDance has reported, it scores 93.0 on AIME 2025, a 2233 Codeforces rating, 81.7 on LiveCodeBench v6, and 73.5 on SWE-Bench Verified. Third-party testing found it ahead of Gemini 3.1 Pro Preview on AIME 2025 and close on MMLU-Pro (87.7 vs 89.8), though behind on SWE-Bench Verified and limited to a smaller context window than Gemini's 1M tokens. As the Lite tier of the Seed 2.0 family, it costs a fraction of the Pro variant per token, suited to high-volume production use like document summarization, customer support, and agent workflows where cost per call matters. This entry is the February 28, 2026 pinned snapshot of the model.

Seed 2.0 Mini is ByteDance's smallest and cheapest model in the Seed 2.0 family, available here through BytePlus's hosting (ByteDance's own cloud AI platform, Model Ark). It handles text, image, and video input with tool calling and a 256K context window. ByteDance built it for high-throughput, latency-sensitive workloads rather than deep reasoning. On benchmarks it scores 87.0 on AIME 2025, 67.9 on SWE-Bench Verified, 1644 on Codeforces, and 81.2 on VideoMME, lower than the Pro and Lite models in the same family. At $0.10 per million input tokens and $0.40 per million output tokens, it suits batch classification, content moderation, high-volume chat, and other cost-sensitive API workloads where speed and price matter more than peak capability.

Seedream 5.0 Lite is ByteDance's cost-optimized entry in the Seedream 5.0 family, released in February 2026 and available here through BytePlus's ModelArk API. Unlike earlier Seedream versions, it runs a multimodal reasoning pass before generating pixels, interpreting spatial relationships and creative intent from incomplete or abstract prompts instead of matching keywords directly. BytePlus positions it for turning structured information, such as diagrams, product compositions, or scientific illustrations, into visuals with a clear layout and hierarchy. On Artificial Analysis's independent Text-to-Image Elo leaderboard it scores 1,200, in the same range as Black Forest Labs' FLUX.2 Dev and below its own Seedream 5.0 Pro sibling (1,283). It suits high-volume, budget-conscious workloads such as presentations and educational or marketing graphics.

Dreamina Seedance 2.0 is ByteDance's Seedance 2.0 video model, made available here through BytePlus's hosting. Dreamina is the international edition of ByteDance's Jimeng creation app, and Seedance is the video model behind it, alongside the Seedream image model; this listing is the Seedance 2.0 checkpoint distributed under the Dreamina name. It accepts text, images, video, and audio together as reference input in one generation call, and supports video extension and targeted editing, not just full clip generation. ByteDance describes its motion as physics-compliant and highlights stronger intent understanding and instruction following. Through this API it produces clips up to 15 seconds at 480p, 720p, 1080p, or 4K, 24fps. It is the top tier of the 2.0 family, suited to marketing clips, social content, and multi-shot sequences. The Fast and Mini tiers below it trade resolution ceiling and some quality for lower latency and cost.

Dreamina Seedance 2.0 Fast is the faster, lower-resolution tier of ByteDance's Seedance 2.0 video family, distributed under the Dreamina brand and available here via BytePlus's hosting. It shares the 2.0 generation's motion engine and multimodal reference input (images, video, and audio alongside a text prompt), but caps output at 720p and 480p rather than the full model's 1080p and 4K ceiling. Duration and frame rate match the standard 2.0 model, up to 15 seconds at 24fps. Trading top-end resolution for speed makes it a fit for high-volume iteration, drafts, and action-heavy or social clips where turnaround matters more than 4K output.

Seed 1.8 is ByteDance's agentic multimodal model, available here through BytePlus's Model Ark hosting. It accepts text, image, and video input, and combines search, code, and GUI agent skills in one system. Several thinking modes, from minimal to high, let it adjust reasoning depth to the task. ByteDance reports a score of 67.6 on BrowseComp-en for web search and 87.8 on VideoMME for long-video understanding, and says Seed 1.8 surpasses Gemini 3 Pro on BrowseComp-en. On BytePlus, the model supports a 256,000-token context window, function calling, and video understanding across up to 1,280 extracted frames, useful for agent workflows like itinerary planning, business analysis, and multi-step task execution.

GLM-4.7 is an open-weight large language model from Zhipu AI (Z.ai), available here through BytePlus's hosting. It targets coding and agentic workflows, including long-running, multi-step tasks that involve tool use. The model reasons before each response and before each tool call, which Z.ai says improves consistency compared to earlier GLM versions. On benchmarks, GLM-4.7 scores 73.8% on SWE-bench Verified and 95.7% on AIME 2025. Z.ai reports it performs at or above Claude Sonnet 4.5 on SWE-bench Verified, LiveCodeBench v6, and Terminal Bench 2.0. It supports a 200,000 token context window and tool calling, suited for software engineering agents, code generation, and multi-step reasoning tasks.

Seedance 1.5 Pro is ByteDance's audio-visual joint generation model, released in December 2025 and available here through BytePlus's hosting. Unlike earlier Seedance versions, it generates video and audio together in a single pass rather than adding sound afterward, with multi-language lip sync covering Chinese, English, Japanese, Korean, Spanish, and Indonesian, plus Sichuan and Cantonese dialects, and support for cinematic camera moves such as dolly zooms. ByteDance evaluates it on SeedVideoBench 1.5, a benchmark it built with film directors covering prompt following, motion quality, and audio-visual sync, and says the model leads on these measures; no numeric score has been published. Through this API it supports 480p, 720p, and 1080p at up to 12 seconds and 24fps. It targets production use cases with dialogue or sound design built in, such as short dramas, advertising, and animation, where earlier text/image-only Seedance versions would need a separate audio step.

DeepSeek V3.2 is a mixture-of-experts large language model from DeepSeek, made available here through BytePlus's Model Ark hosting. It uses DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism that lowers compute cost while preserving quality on long-context tasks, and it supports tool use in both thinking and non-thinking modes. DeepSeek describes its reasoning performance as in the same class as GPT-5, trained with a large-scale agentic data synthesis pipeline spanning over 1,800 environments and more than 85,000 complex instructions to strengthen tool-use in agentic settings. It's suited for reasoning-heavy work such as math and coding, and for agentic applications that call tools as part of multi-step tasks, while balancing inference speed against the deeper reasoning of DeepSeek's higher-compute Speciale variant.

Seedream 4.5 is ByteDance's follow-up to Seedream 4.0, announced in December 2025 and available here through BytePlus's ModelArk API. It keeps the same unified generation-and-editing architecture and scales it up rather than introducing a new one. BytePlus reports improvements in editing consistency, including better preservation of subject detail, lighting, and color tone, along with sharper small-text and facial rendering and steadier multi-image fusion across up to 10 reference images. 4K output is included at no extra charge over lower resolutions. On Artificial Analysis's independent Text-to-Image Elo leaderboard, Seedream 4.5 scores 1,207, behind Seedream 4.0's 1,225 on that measure. It targets production use cases such as e-commerce product imagery, marketing campaigns, and game or film pre-production art where consistent editing matters more than one-shot generation.

Seedance 1.0 Pro Fast is ByteDance's speed-optimized variant of Seedance 1.0 Pro, offered here through BytePlus's hosting. BytePlus documentation describes it as inheriting Seedance 1.0 Pro's core strengths, including deep instruction parsing, multi-shot storytelling with natural transitions, and detail rendering for faces and hair, while running about 3x faster and at roughly 72% lower output cost than the standard Pro model. Through this API it supports 480p, 720p, and 1080p at up to 12 seconds and 24fps, the same resolution and duration range as Seedance 1.0 Pro. It fits workloads where volume and turnaround matter, such as rapid iteration and high-throughput content pipelines, with Seedance 1.0 Pro itself the better choice when quality matters more than speed.

Seed 1.6 is a multimodal reasoning model from ByteDance's Seed team, accessible here through BytePlus's Model Ark hosting. It reads text, images, and video across a 256,000-token context window, using a sparse Mixture-of-Experts design with 230 billion total parameters and 23 billion active per forward pass. The model offers three reasoning modes, thinking, non-thinking, and auto, plus an adaptive chain-of-thought mechanism that decides whether to reason step by step based on prompt complexity, rather than always running deep reasoning. ByteDance reports Seed 1.6-Thinking scored 683/750 in the humanities section of China's 2025 Gaokao exam (ranked first among models tested) and 648/750 in science (ranked second), plus 100% accuracy on the math section of India's JEE Advanced exam. ByteDance compared these results against Gemini 2.5 Pro, DeepSeek-R1, Claude Sonnet 4, and OpenAI o3. Tool calling is supported, fitting agent and document workflows that combine multimodal understanding with API-driven actions.

Seedream 4.0 is ByteDance's unified text-to-image and image-editing model, available here through BytePlus's hosted API. Released in September 2025, it replaced Seedream 3.0's separate generation and editing pipelines with a single architecture that handles both. It generates images up to 4K resolution, more than 10 times faster than Seedream 3.0, and accepts up to 10 reference images at once while keeping characters and styles consistent across a series of outputs. ByteDance reports that on its own MagicArena Elo evaluation, Seedream 4.0 surpassed Google's Gemini 2.5 Flash Image, known as Nano Banana, in single-image editing. On Artificial Analysis's independent Text-to-Image Elo leaderboard it scores 1,225, ahead of Black Forest Labs' FLUX.2 Dev (1,200) though behind newer flagship models. It fits multi-image storytelling and editing workflows where character and style consistency across a sequence of images matters.

GPT-OSS 120B is an open-weight reasoning model built by OpenAI and released under the Apache 2.0 license, available here through BytePlus's hosting. It is built for agentic workflows, including tool use, web search, and code execution, with adjustable reasoning effort and full chain-of-thought output. It supports structured outputs and is compatible with OpenAI's Responses API format. On reported benchmarks, it scores 90% on MMLU and 96.6% on AIME 2024, and 80-81% on GPQA Diamond, putting it near parity with OpenAI's o4-mini on core reasoning tasks. It also outperforms o3-mini on competition coding, tool calling (TauBench), and general problem solving, and scores above o4-mini on HealthBench. Because the weights are open, it suits teams wanting OpenAI-level reasoning quality without the licensing restrictions of closed models like GPT-4.

Seed 1.6 Flash is ByteDance's faster, lower-cost tier of the Seed 1.6 family, accessible here through BytePlus's Model Ark hosting. It shares the family's 256,000-token context window and reads text, image, and video input, and it launched alongside Seed 1.6 and Seed 1.6-Thinking as part of ByteDance's Doubao 1.6 rollout, which cut token pricing sharply from the prior generation. ByteDance built its Seed-1.6-Embedding model on top of Seed 1.6 Flash, reusing its multimodal understanding of text, images, and video as the base for that embedding model. Tool calling is supported, and input and output pricing run well below the full Seed 1.6 model, so it targets high-volume, latency-sensitive use cases such as real-time chat, agent loops with frequent tool calls, and media classification. Teams that need the strongest reasoning should use Seed 1.6 or Seed 1.6-Thinking instead.

Seedance 1.0 Pro is ByteDance's original professional-tier Seedance video model, released in June 2025 and available here through BytePlus's hosting. It generates text-to-video and image-to-video clips with native multi-shot generation, keeping subjects and visual style consistent across cuts rather than treating each shot independently. At launch it topped the Artificial Analysis community leaderboard for both text-to-video and image-to-video, ahead of Google's Veo 3, OpenAI's Sora, and Kling 2.0. ByteDance's technical report also cites roughly a 10x inference speedup, generating a 5-second 1080p clip in about 41 seconds. Through this API it supports 480p, 720p, and 1080p at up to 12 seconds and 24fps, and suits production work such as marketing and narrative content that needs multi-shot consistency.