Claude 3.5 Sonnet(Jun 2024) vs Mistral 8x7B Instruct: Benchmarks, Pricing, and Context Window Comparison
Claude 3.5 Sonnet(Jun 2024) 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 3.5 Sonnet(Jun 2024) can still be preferable if benchmark results better match your workload.
Author: Mirai Minds Research Team
Last updated:
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Overview
Claude 3.5 Sonnet(Jun 2024) was released 7 months after Mistral 8x7B Instruct.
 Claude 3.5 Sonnet(Jun 2024) | 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. | 8,192 tokens | 4,096 tokens |
Release Date When the model was first released. | Jun 20, 2024 over 1 yearago 2024-06-20 | Dec 11, 2023 over 1 year 2023-12-11 |
Leaderboard
| Claude 3.5 Sonnet(Jun 2024) | 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 3.5 Sonnet(Jun 2024) | Mistral 8x7B Instruct | |
|---|---|---|
Input Cost of input data provided to the model. | $3.00 per million tokens | $0.70 per million tokens |
Output Cost of output tokens generated by the model. | $15.00 per million tokens | $0.70 per million tokens |
Benchmarks
Compare relevant benchmarks between Claude 3.5 Sonnet(Jun 2024) and Mistral 8x7B Instruct Instruct.
| Claude 3.5 Sonnet(Jun 2024) | Mistral 8x7B Instruct | |
|---|---|---|
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings. | 88.3 (5-shot) | 70.6 (5-shot) |
MMMU A wide ranging multi-discipline and multimodal benchmark. | 68.3 | Benchmark not available. |
HellaSwag A challenging sentence completion benchmark. | Benchmark not available. | Benchmark not available. |