Model comparison
Mistral Medium 3 vs Trinity-Large-Preview
Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Mistral Medium 3 #156 (Estimated); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mistral Medium 3 and Trinity-Large-Preview share 12 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Mistral Medium 3; 6 to Trinity-Large-Preview.
Updated July 21, 2026- Shared results
- 12
- Mistral Medium 3 only
- 1
- Trinity-Large-Preview only
- 6
- Comparable categories
- 0 / 8
Benchmark data for Mistral Medium 3 and Trinity-Large-Preview is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 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 is priced at $0.40 input / $2.00 output per 1M tokens, versus $0.25 input / $1.00 output per 1M tokens for Trinity-Large-Preview. Trinity-Large-Preview has the larger context window at 512K, compared with 128K for Mistral Medium 3.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mistral Medium 3 | Trinity-Large-Preview | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Medium 3$0.4 input / $2 output | Trinity-Large-Preview$0.25 input / $1 output | Trinity-Large-Preview has the lower combined listed price. |
| Generation speedtokens per second | Mistral Medium 357 tok/s | Trinity-Large-PreviewNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral Medium 31.20 s | Trinity-Large-PreviewNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral Medium 3128K | Trinity-Large-Preview512K | Trinity-Large-Preview lists the larger context window. |
Benchmark Deep Dive
Agentic3 benchmarks
Coding1 benchmarks
| Benchmark | Mistral Medium 3 | Trinity-Large-Preview | Result |
|---|---|---|---|
| AA-SciCodeSource | 33.1% | 36.1% | Trinity-Large-Preview leads |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Mistral Medium 3 | Trinity-Large-Preview | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 12.5% | 24.5% | Trinity-Large-Preview leads |
| AA-GPQA DiamondSource | 57.8% | 75.2% | Trinity-Large-Preview leads |
| AA-HLESource | 4.3% | 14.7% | Trinity-Large-Preview leads |
| AA-Omniscience IndexSource | -31.5% | -44.2% | Mistral Medium 3 leads |
| AA-Omniscience AccuracySource | 18.3% | 22.8% | Trinity-Large-Preview leads |
| AA-Omniscience Hallucination RateSource | 60.9% | 86.6% | Mistral Medium 3 leads |
| MMLUSource | — | 87.2% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 75.2% | Not comparable |
| GPQA-DSource | — | 63.3% | Not comparable |
Math1 benchmarks
| Benchmark | Mistral Medium 3 | Trinity-Large-Preview | Result |
|---|---|---|---|
| AIME25 (Arcee)Source | — | 24.0% | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Mistral Medium 3 | Trinity-Large-Preview | Result |
|---|---|---|---|
| AA-IFBenchSource | 39.3% | 56.3% | Trinity-Large-Preview leads |
Frequently Asked Questions (3)
Can I compare Mistral Medium 3 and Trinity-Large-Preview 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 and Trinity-Large-Preview today?
Mistral Medium 3: $0.40 input / $2.00 output per 1M tokens Trinity-Large-Preview: $0.25 input / $1.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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