Virtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and enterprise QA. Unlike many 70 B peers, it retains the 128 k...
Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...
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This model always redirects to the latest model in the GPT Terra family.
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Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...
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This model always redirects to the latest GLM model from Z.ai.
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...
No provider description is available for this model yet.
The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently...
No provider description is available for this model yet.
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gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
No provider description is available for this model yet.
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| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| Arcee AI: Virtuoso Largearcee-ai/virtuoso-large | 131.072K | $0.75 | $1.2 | — | |||
| NVIDIA: Nemotron 3.5 Lightning (free)nvidia/nemotron-3.5-lightning:free | NVIDIA |
1M | Free | Free | — | ||
| anthropic.claude-fable-5-1bedrock_converse/anthropic.claude-fable-5-1 | 1M | $10 | $50 | — | |||
| global.anthropic.claude-fable-5-1bedrock_converse/global.anthropic.claude-fable-5-1 | 1M | $10 | $50 | — | |||
| us.anthropic.claude-fable-5-1bedrock_converse/us.anthropic.claude-fable-5-1 | 1M | $11 | $55 | — | |||
| eu.anthropic.claude-fable-5-1bedrock_converse/eu.anthropic.claude-fable-5-1 | 1M | $11 | $55 | — | |||
| claude-fable-5-1azure_ai/claude-fable-5-1 | 1M | $10 | $50 | — | |||
| deepseek-v4-flash-0731azure_ai/deepseek-v4-flash-0731 | 1M | $0.19 | $0.51 | — | |||
| deepseek-v4-flashqwencloud/deepseek-v4-flash | 1M | $0.2 | $0.4 | — | |||
| deepseek-v4-flash-0731qwencloud/deepseek-v4-flash-0731 | 1M | $0.2 | $0.4 | — | |||
| kimi-k3moonshot/kimi-k3 | 1.04858M | $3 | $15 | — | |||
| deepseek-v4-proqwencloud/deepseek-v4-pro | 1M | $2.4 | $4.8 | — | |||
| OpenAI: GPT Terra Latest~openai/gpt-terra-latest | OpenAI |
1.05M | $2 | $12 | — | ||
| glm-5.1qwencloud/glm-5.1 | 202.745K | $1.4 | $4.4 | — | |||
| glm-5.2qwencloud/glm-5.2 | 1.04858M | $1.4 | $4.4 | — | |||
| kimi-k2.7-codeqwencloud/kimi-k2.7-code | 229.376K | $0.95 | $4 | — | |||
| qwen-coderqwencloud/qwen-coder | 1M | $0.3 | $1.5 | — | |||
| qwen-flashqwencloud/qwen-flash | 997.952K | — | — | — | |||
| Meta: Muse Spark 1.3 Contributormeta/muse-spark-1.3-contributor | Meta |
1.04858M | $0.1 | $0.2 | — | ||
| qwen-flash-2025-07-28qwencloud/qwen-flash-2025-07-28 | 997.952K | — | — | — | |||
| qwen-maxqwencloud/qwen-max | 30.72K | $1.6 | $6.4 | — | |||
| qwen-plusqwencloud/qwen-plus | 129.024K | $0.4 | $1.2 | — | |||
| qwen-plus-2025-01-25qwencloud/qwen-plus-2025-01-25 | 129.024K | $0.4 | $1.2 | — | |||
| qwen-plus-2025-04-28qwencloud/qwen-plus-2025-04-28 | 129.024K | $0.4 | $1.2 | — | |||
| qwen-plus-2025-07-14qwencloud/qwen-plus-2025-07-14 | 129.024K | $0.4 | $1.2 | — | |||
| qwen-plus-2025-07-28qwencloud/qwen-plus-2025-07-28 | 997.952K | — | — | — | |||
| qwen-plus-2025-09-11qwencloud/qwen-plus-2025-09-11 | 997.952K | — | — | — | |||
| qwen-plus-latestqwencloud/qwen-plus-latest | 997.952K | — | — | — | |||
| qwen-turboqwencloud/qwen-turbo | 129.024K | $0.05 | $0.2 | — | |||
| qwen-turbo-2024-11-01qwencloud/qwen-turbo-2024-11-01 | 1M | $0.05 | $0.2 | — | |||
| qwen-turbo-2025-04-28qwencloud/qwen-turbo-2025-04-28 | 1M | $0.05 | $0.2 | — | |||
| qwen-turbo-latestqwencloud/qwen-turbo-latest | 1M | $0.05 | $0.2 | — | |||
| qwen3-30b-a3bqwencloud/qwen3-30b-a3b | 129.024K | — | — | — | |||
| qwen3-coder-flashqwencloud/qwen3-coder-flash | 997.952K | — | — | — | |||
| qwen3-coder-flash-2025-07-28qwencloud/qwen3-coder-flash-2025-07-28 | 997.952K | — | — | — | |||
| Z.ai: GLM Latest~z-ai/glm-latest | Z Ai |
262.144K | $0.877 | $2.97 | — | ||
| Qwen: Qwen3.8 2.4T A95Bqwen/qwen3.8-2.4t-a95b | Alibaba Qwen |
1M | $2 | $6 | — | ||
| qwen3-coder-plusqwencloud/qwen3-coder-plus | 997.952K | — | — | — | |||
| OpenAI: o3 Pro (batch)openai/o3-pro:batch | OpenAI |
200K | $10 | $40 | — | ||
| qwen3-coder-plus-2025-07-22qwencloud/qwen3-coder-plus-2025-07-22 | 997.952K | — | — | — | |||
| qwen3-max-previewqwencloud/qwen3-max-preview | 258.048K | — | — | — | |||
| qwen3-maxqwencloud/qwen3-max | 258.048K | — | — | — | |||
| OpenAI: gpt-oss-120b (batch)openai/gpt-oss-120b:batch | OpenAI |
131.072K | $0.15 | $0.6 | — | ||
| qwen3-max-2026-01-23qwencloud/qwen3-max-2026-01-23 | 258.048K | — | — | — | |||
| qwen3-next-80b-a3b-instructqwencloud/qwen3-next-80b-a3b-instruct | 262.144K | $0.15 | $1.2 | — | |||
| qwen3-next-80b-a3b-thinkingqwencloud/qwen3-next-80b-a3b-thinking | 262.144K | $0.15 | $1.2 | — | |||
| qwen3-vl-235b-a22b-instructqwencloud/qwen3-vl-235b-a22b-instruct | 131.072K | $0.4 | $1.6 | — | |||
| qwen3-vl-235b-a22b-thinkingqwencloud/qwen3-vl-235b-a22b-thinking | 131.072K | $0.4 | $4 | — | |||
| qwen3-vl-32b-instructqwencloud/qwen3-vl-32b-instruct | 131.072K | $0.16 | $0.64 | — | |||
| qwen3-vl-32b-thinkingqwencloud/qwen3-vl-32b-thinking | 131.072K | $0.16 | $2.87 | — |