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Mistral AI

Mistral 7B v0.3

VS
Mistral AI

Mixtral 8x22B v0.1

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

Decision Recommendation

👑 Editorial Verdict: Mixtral 8x22B v0.1 strictly dominates Mistral 7B v0.3 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 (200 tps vs 25 tps). Unless you have platform lock-in, Mixtral 8x22B v0.1 is the clear and optimal choice for all development workloads.

Model Specs

Mistral 7B v0.3

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
25 tps
Context Window
32k tokens
Model Specs

Mixtral 8x22B 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
Speed8.0x faster
200 tps
Context WindowLarger
65.54k 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.

Mixtral 8x22B v0.1 is faster than Mistral 7B v0.3. Mixtral 8x22B v0.1 generates 200 tokens per second (tps) compared to Mistral 7B v0.3 which generates 25 tokens per second.

Coding benchmark scores are not currently recorded for these models.

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