Model comparison
Mistral Medium 3.5 128B vs o4-mini (high)
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: Mistral Medium 3.5 128B unranked (Not scored); o4-mini (high) #123 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mistral Medium 3.5 128B and o4-mini (high) share 0 comparable benchmark results. 0 of 8 categories are comparable. 25 results are unique to Mistral Medium 3.5 128B; 2 to o4-mini (high).
Updated July 27, 2026- Shared results
- 0
- Mistral Medium 3.5 128B only
- 25
- o4-mini (high) only
- 2
- Comparable categories
- 0 / 8
Benchmark data for Mistral Medium 3.5 128B and o4-mini (high) 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Mistral Medium 3.5 128B has the larger context window at 256K, compared with 200K for o4-mini (high).
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mistral Medium 3.5 128B | o4-mini (high) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Medium 3.5 128B$1.5 input / $7.5 output | o4-mini (high)Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Mistral Medium 3.5 128BNot available | o4-mini (high)161 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral Medium 3.5 128BNot available | o4-mini (high)21.94 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral Medium 3.5 128B256K | o4-mini (high)200K | Mistral Medium 3.5 128B lists the larger context window. |
Benchmark Deep Dive
Agentic11 benchmarks
| Benchmark | Mistral Medium 3.5 128B | o4-mini (high) | Result |
|---|---|---|---|
| τ³-bench resultsSource | 91.4% | — | Not comparable |
| AA Agentic IndexSource | 19.0% | — | Not comparable |
| τ²-bench resultsSource | 94.2% | — | Not comparable |
| GDPval-AASource | 21.6% | — | Not comparable |
| GDPval-AASource | 933 | — | Not comparable |
| Gert LabsSource | 39.10% | — | Not comparable |
| AA EnterpriseOps-GymSource | 33.7% | — | Not comparable |
| AA Harvey LABSource | 69.1% | — | Not comparable |
| terminalBenchHardSource | 33.3% | — | Not comparable |
| AA BriefcaseSource | 516 | — | Not comparable |
| AA Tau3 BankingSource | 14.4% | — | Not comparable |
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Mistral Medium 3.5 128B | o4-mini (high) | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 29.9% | — | Not comparable |
| AA-GPQA DiamondSource | 74.8% | — | Not comparable |
| AA-HLESource | 12.8% | — | Not comparable |
| AA-Omniscience IndexSource | -36.3% | — | Not comparable |
| AA-Omniscience AccuracySource | 25.1% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 82.0% | — | Not comparable |
| AA Openness IndexSource | 33.3% | — | Not comparable |
Math2 benchmarks
Multimodal1 benchmarks
| Benchmark | Mistral Medium 3.5 128B | o4-mini (high) | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 64.9% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Mistral Medium 3.5 128B | o4-mini (high) | Result |
|---|---|---|---|
| AA-IFBenchSource | 68.8% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Mistral Medium 3.5 128B and o4-mini (high) 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 Medium 3.5 128B and o4-mini (high) today?
Mistral Medium 3.5 128B: $1.50 input / $7.50 output per 1M tokens o4-mini (high): Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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