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Side-by-side comparison of API pricing, context window, latency, and benchmark performance. Data refreshed daily from provider APIs and ModelStop's own latency probes.
💰Mistral: Mixtral 8x7B Instruct is 17% cheaper than Qwen3 235B A22B Thinking 2507 FP8
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Mistral: Mixtral 8x7B Instruct is 20% cheaper
| Spec | Mistral: Mixtral 8x7B Instruct | Qwen3 235B A22B Thinking 2507 FP8 |
|---|---|---|
| Provider | mistralai | qwen |
| Input price / 1M tokens | $0.54 | $0.65 |
| Output price / 1M tokens | $0.54 | $3.00 |
| Context window | 33k tokens | 262k tokens |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | No | No |
Mixtral 8x7B Instruct is a pretrained generative Sparse Mixture of Experts, by Mistral AI, for chat and instruction use. Incorporates 8 experts (feed-forward networks) for a total of 47 billion...
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
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