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Mistral AI

Mixtral 8x7B v0.1

VS
OpenAI

GPT-5 mini

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GPT-5 mini is the premium intelligence choice, scoring 45.7% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Mixtral 8x7B v0.1 is 1.0x cheaper to run and delivers 1.6x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Mixtral 8x7B v0.1 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5 mini fully justifies the cost.

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
Speed1.6x faster
140 tps
Context Window
32k tokens
Model Specs

GPT-5 mini

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
45.7%
Reasoning (gpqa-diamond)Winner (+)
81.6%

Cost & Performance

Cost (per 1M tokens)
$0.69Input: $0.25 | Output: $2.00
Speed
86 tps
Context WindowLarger
400k 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 8x7B v0.1 is faster than GPT-5 mini. Mixtral 8x7B v0.1 generates 140 tokens per second (tps) compared to GPT-5 mini which generates 86 tokens per second.

GPT-5 mini is better for coding tasks. It scores 45.7% on coding evaluations (swe-bench-pro) compared to Mixtral 8x7B v0.1 which scores N/A.

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