Model comparison
GPT-5 nano vs Mistral Small 4
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5 nano #139 (Estimated); Mistral Small 4 #140 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5 nano and Mistral Small 4 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to GPT-5 nano; 16 to Mistral Small 4.
Updated July 23, 2026- Shared results
- 0
- GPT-5 nano only
- 0
- Mistral Small 4 only
- 16
- Comparable categories
- 0 / 8
Benchmark data for GPT-5 nano and Mistral Small 4 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM does not have sourced benchmark coverage for GPT-5 nano yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Mistral Small 4 is priced at $0.15 input / $0.60 output per 1M tokens, versus $0.05 input / $0.40 output per 1M tokens for GPT-5 nano. GPT-5 nano has the larger context window at 400K, compared with 256K for Mistral Small 4.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5 nano | Mistral Small 4 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5 nano$0.05 input / $0.4 output | Mistral Small 4$0.15 input / $0.6 output | GPT-5 nano has the lower combined listed price. |
| Generation speedtokens per second | GPT-5 nano137 tok/s | Mistral Small 4175 tok/s | Mistral Small 4 has the higher measured throughput. |
| First-answer latencyseconds to first token | GPT-5 nano83.30 s | Mistral Small 40.64 s | Mistral Small 4 reaches the first token sooner. |
| Context windowmaximum listed tokens | GPT-5 nano400K | Mistral Small 4256K | GPT-5 nano lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | GPT-5 nano | Mistral Small 4 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 19.6% | Not comparable |
| AA-GPQA DiamondSource | — | 76.9% | Not comparable |
| AA-HLESource | — | 9.5% | Not comparable |
| AA-Omniscience IndexSource | — | -29.9% | Not comparable |
| AA-Omniscience AccuracySource | — | 22.1% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 66.8% | Not comparable |
Multimodal1 benchmarks
| Benchmark | GPT-5 nano | Mistral Small 4 | Result |
|---|---|---|---|
| AA-MMMU-ProSource | — | 56.8% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5 nano | Mistral Small 4 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 48.2% | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-5 nano and Mistral Small 4 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GPT-5 nano and Mistral Small 4 today?
GPT-5 nano: $0.05 input / $0.40 output per 1M tokens Mistral Small 4: $0.15 input / $0.60 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.