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Mistral AI

Mistral Large 3

VS
Mistral AI

Mixtral 8x7B v0.1

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

👑 Editorial Verdict: Mistral Large 3 strictly dominates Mixtral 8x7B v0.1 across all major dimensions. It is not only more cost-effective (blended cost of $0.00 vs $0.00 per 1M tokens) but also delivers superior coding accuracy (0% vs 0% on SWE-bench) and faster generation speeds (220 tps vs 140 tps). Unless you have platform lock-in, Mistral Large 3 is the clear and optimal choice for all development workloads.

Model Specs

Mistral Large 3

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)Winner (+)
85.5%

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed1.6x faster
220 tps
Context WindowLarger
262.14k tokens
Model Specs

Mixtral 8x7B v0.1

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
N/A

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed
140 tps
Context Window
32k tokens
Read our data collection methodology

Frequently Asked Questions

Pricing data is currently unavailable for one or both of these models, so a direct cost comparison cannot be determined.

Mistral Large 3 is faster than Mixtral 8x7B v0.1. Mistral Large 3 generates 220 tokens per second (tps) compared to Mixtral 8x7B v0.1 which generates 140 tokens per second.

Coding benchmark scores are not currently recorded for these models.

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