Claude 4 Sonnet vs Mistral 8x7B Instruct: Benchmarks, Pricing, and Context Window Comparison
Claude 4 Sonnet vs Mistral 8x7B Instruct compares provider, context window, token pricing, benchmark performance, and release timeline in one side-by-side view. Use this page to quickly identify which model is a better fit for your production constraints, quality targets, and estimated cost per request.
Verdict
Mistral 8x7B Instruct has lower listed token pricing, while Claude 4 Sonnet can still be preferable if benchmark results better match your workload.
Author: Mirai Minds Research Team
Last updated:
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Overview
Claude 4 Sonnet was released 18 months after Mistral 8x7B Instruct.
 Claude 4 Sonnet | Mistral 8x7B Instruct | |
|---|---|---|
Provider The entity that provides this model. | Anthropic | Mistral |
Input Context Window The number of tokens supported by the input context window. | 200K tokens | 32K tokens |
Maximum Output Tokens The number of tokens that can be generated by the model in a single request. | 64000 tokens | 4,096 tokens |
Release Date When the model was first released. | May 22, 2025 over 1 yearago 2025-05-22 | Dec 11, 2023 over 1 year 2023-12-11 |
Leaderboard
| Claude 4 Sonnet | Mistral 8x7B Instruct | |
|---|---|---|
Rank | Unknown | Unknown |
Arena Elo | Not specified. | Not specified. |
95% CI | Not specified. | Not specified. |
Votes | Not specified. | Not specified. |
License | Not specified. | Not specified. |
Knowledge Cutoff | Unknown | Unknown |
Pricing
| Claude 4 Sonnet | Mistral 8x7B Instruct | |
|---|---|---|
Input Cost of input data provided to the model. | $3 per million tokens | $0.70 per million tokens |
Output Cost of output tokens generated by the model. | $15 per million tokens | $0.70 per million tokens |
Benchmarks
Compare relevant benchmarks between Claude 4 Sonnet and Mistral 8x7B Instruct Instruct.
| Claude 4 Sonnet | Mistral 8x7B Instruct | |
|---|---|---|
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings. | Benchmark not available. | 70.6 (5-shot) |
MMMU A wide ranging multi-discipline and multimodal benchmark. | 74.4 | Benchmark not available. |
HellaSwag A challenging sentence completion benchmark. | Benchmark not available. | Benchmark not available. |