Model comparison
Mistral Small 4 vs o1-pro
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Mistral Small 4 #140 (Estimated); o1-pro #141 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mistral Small 4 and o1-pro share 1 comparable benchmark result. 0 of 8 categories are comparable. 15 results are unique to Mistral Small 4; 1 to o1-pro.
Updated July 23, 2026- Shared results
- 1
- Mistral Small 4 only
- 15
- o1-pro only
- 1
- Comparable categories
- 0 / 8
Benchmark data for Mistral Small 4 and o1-pro is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
o1-pro is priced at $150.00 input / $600.00 output per 1M tokens, versus $0.15 input / $0.60 output per 1M tokens for Mistral Small 4. Mistral Small 4 has the larger context window at 256K, compared with 200K for o1-pro.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Mistral Small 4 | Δ | o1-pro |
|---|---|---|---|
| Knowledge | Mistral Small 4Not measured | MarginNo overlap | o1-pro79.0 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mistral Small 4 | o1-pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Small 4$0.15 input / $0.6 output | o1-pro$150 input / $600 output | Mistral Small 4 has the lower combined listed price. |
| Generation speedtokens per second | Mistral Small 4175 tok/s | o1-proNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral Small 40.64 s | o1-proNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral Small 4256K | o1-pro200K | Mistral Small 4 lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Mistral Small 4 | o1-pro | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 19.6% | 18.9% | Mistral Small 4 leads |
| 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 |
| GPQASource | — | 79% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Mistral Small 4 | o1-pro | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 56.8% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Mistral Small 4 | o1-pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 48.2% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Mistral Small 4 and o1-pro 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 Mistral Small 4 and o1-pro today?
Mistral Small 4: $0.15 input / $0.60 output per 1M tokens o1-pro: $150.00 input / $600.00 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.
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