No provider description is available for this model yet.
Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
No provider description is available for this model yet.
No provider description is available for this model yet.
Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
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No provider description is available for this model yet.
No provider description is available for this model yet.
Fugu Ultra v2 is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to...
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
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No provider description is available for this model yet.
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...
No provider description is available for this model yet.
No provider description is available for this model yet.
Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text...
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
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No provider description is available for this model yet.
No provider description is available for this model yet.
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| qwen3.5-plusqwencloud/qwen3.5-plus | 991.808K | — | — | — | |||
| qwen3.7-maxqwencloud/qwen3.7-max | 991.808K | $2.5 | $7.5 | — | |||
| qwen3.7-plusqwencloud/qwen3.7-plus | 991.808K | — | — | — | |||
| Qwen: Qwen3.8 Flashqwen/qwen3.8-flash | Alibaba Qwen |
1M | $0.15 | $0.47 | — | ||
| Qwen: Qwen2.5 VL 72B Instructqwen/qwen2.5-vl-72b-instruct | Alibaba Qwen |
128K | $0.8 | $1 | — | ||
| qwen3.8-maxqwencloud/qwen3.8-max | 991.808K | $2 | $6 | — | |||
| deepseek-v4-flashqwen_ai_platform/deepseek-v4-flash | 1M | $0.2 | $0.4 | — | |||
| deepseek-v4-flash-0731qwen_ai_platform/deepseek-v4-flash-0731 | 1M | $0.2 | $0.4 | — | |||
| deepseek-v4-proqwen_ai_platform/deepseek-v4-pro | 1M | $2.4 | $4.8 | — | |||
| glm-5.1qwen_ai_platform/glm-5.1 | 202.745K | $1.4 | $4.4 | — | |||
| glm-5.2qwen_ai_platform/glm-5.2 | 1.04858M | $1.4 | $4.4 | — | |||
| kimi-k2.7-codeqwen_ai_platform/kimi-k2.7-code | 229.376K | $0.95 | $4 | — | |||
| qwen-coderqwen_ai_platform/qwen-coder | 1M | $0.3 | $1.5 | — | |||
| qwen-flashqwen_ai_platform/qwen-flash | 997.952K | — | — | — | |||
| qwen-flash-2025-07-28qwen_ai_platform/qwen-flash-2025-07-28 | 997.952K | — | — | — | |||
| Sakana: Fugu Ultra v2sakana/fugu-ultra-v2 | Sakana |
1M | $5 | $30 | — | ||
| qwen-plusqwen_ai_platform/qwen-plus | 129.024K | $0.4 | $1.2 | — | |||
| qwen-plus-2025-01-25qwen_ai_platform/qwen-plus-2025-01-25 | 129.024K | $0.4 | $1.2 | — | |||
| qwen-plus-2025-04-28qwen_ai_platform/qwen-plus-2025-04-28 | 129.024K | $0.4 | $1.2 | — | |||
| qwen-plus-2025-07-14qwen_ai_platform/qwen-plus-2025-07-14 | 129.024K | $0.4 | $1.2 | — | |||
| qwen-plus-2025-07-28qwen_ai_platform/qwen-plus-2025-07-28 | 997.952K | — | — | — | |||
| qwen-plus-2025-09-11qwen_ai_platform/qwen-plus-2025-09-11 | 997.952K | — | — | — | |||
| qwen-plus-latestqwen_ai_platform/qwen-plus-latest | 997.952K | — | — | — | |||
| qwen-turboqwen_ai_platform/qwen-turbo | 129.024K | $0.05 | $0.2 | — | |||
| qwen-turbo-2024-11-01qwen_ai_platform/qwen-turbo-2024-11-01 | 1M | $0.05 | $0.2 | — | |||
| qwen-turbo-2025-04-28qwen_ai_platform/qwen-turbo-2025-04-28 | 1M | $0.05 | $0.2 | — | |||
| qwen-turbo-latestqwen_ai_platform/qwen-turbo-latest | 1M | $0.05 | $0.2 | — | |||
| qwen3-30b-a3bqwen_ai_platform/qwen3-30b-a3b | 129.024K | — | — | — | |||
| qwen3-coder-flashqwen_ai_platform/qwen3-coder-flash | 997.952K | — | — | — | |||
| OpenAI: GPT-5.5 (batch)openai/gpt-5.5:batch | OpenAI |
1.05M | $2.5 | $15 | — | ||
| qwen3-coder-flash-2025-07-28qwen_ai_platform/qwen3-coder-flash-2025-07-28 | 997.952K | — | — | — | |||
| qwen3-coder-plusqwen_ai_platform/qwen3-coder-plus | 997.952K | — | — | — | |||
| Qwen: Qwen3 VL 32B Instructqwen/qwen3-vl-32b-instruct | Alibaba Qwen |
131.072K | $0.104 | $0.416 | — | ||
| qwen3-coder-plus-2025-07-22qwen_ai_platform/qwen3-coder-plus-2025-07-22 | 997.952K | — | — | — | |||
| qwen3-max-previewqwen_ai_platform/qwen3-max-preview | 258.048K | — | — | — | |||
| qwen3-maxqwen_ai_platform/qwen3-max | 258.048K | — | — | — | |||
| qwen3-max-2026-01-23qwen_ai_platform/qwen3-max-2026-01-23 | 258.048K | — | — | — | |||
| Z.ai: GLM 5.3 Flash (batch)z-ai/glm-5.3-flash:batch | Z Ai |
1.04858M | $0.075 | $0.25 | — | ||
| qwen3-next-80b-a3b-instructqwen_ai_platform/qwen3-next-80b-a3b-instruct | 262.144K | $0.15 | $1.2 | — | |||
| qwen3-next-80b-a3b-thinkingqwen_ai_platform/qwen3-next-80b-a3b-thinking | 262.144K | $0.15 | $1.2 | — | |||
| qwen3-vl-235b-a22b-instructqwen_ai_platform/qwen3-vl-235b-a22b-instruct | 131.072K | $0.4 | $1.6 | — | |||
| qwen3-vl-235b-a22b-thinkingqwen_ai_platform/qwen3-vl-235b-a22b-thinking | 131.072K | $0.4 | $4 | — | |||
| qwen3-vl-32b-instructqwen_ai_platform/qwen3-vl-32b-instruct | 131.072K | $0.16 | $0.64 | — | |||
| qwen3-vl-32b-thinkingqwen_ai_platform/qwen3-vl-32b-thinking | 131.072K | $0.16 | $2.87 | — | |||
| qwen3-vl-plusqwen_ai_platform/qwen3-vl-plus | 260.096K | — | — | — | |||
| qwen3.5-plusqwen_ai_platform/qwen3.5-plus | 991.808K | — | — | — | |||
| qwen3.7-maxqwen_ai_platform/qwen3.7-max | 991.808K | $2.5 | $7.5 | — | |||
| qwen3.7-plusqwen_ai_platform/qwen3.7-plus | 991.808K | — | — | — | |||
| qwen3.8-maxqwen_ai_platform/qwen3.8-max | 991.808K | $2 | $6 | — | |||
| databricks-deepseek-v4-flash-0731databricks/databricks-deepseek-v4-flash-0731 | Databricks |
1M | $0.14 | $0.28 | — |