Model comparison
Mistral Small 4 vs Trinity-Large-Preview
Head-to-head evidence from 13 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Mistral Small 4 #140 (Estimated); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mistral Small 4 and Trinity-Large-Preview share 13 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to Mistral Small 4; 5 to Trinity-Large-Preview.
Updated July 21, 2026- Shared results
- 13
- Mistral Small 4 only
- 3
- Trinity-Large-Preview only
- 5
- Comparable categories
- 0 / 8
Benchmark data for Mistral Small 4 and Trinity-Large-Preview is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 5 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.
Trinity-Large-Preview is priced at $0.25 input / $1.00 output per 1M tokens, versus $0.15 input / $0.60 output per 1M tokens for Mistral Small 4. Trinity-Large-Preview has the larger context window at 512K, compared with 256K for Mistral Small 4.
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 Small 4 | Trinity-Large-Preview | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Small 4$0.15 input / $0.6 output | Trinity-Large-Preview$0.25 input / $1 output | Mistral Small 4 has the lower combined listed price. |
| Generation speedtokens per second | Mistral Small 4175 tok/s | Trinity-Large-PreviewNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral Small 40.64 s | Trinity-Large-PreviewNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral Small 4256K | Trinity-Large-Preview512K | Trinity-Large-Preview lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Mistral Small 4 | Trinity-Large-Preview | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 19.6% | 24.5% | Trinity-Large-Preview leads |
| AA-GPQA DiamondSource | 76.9% | 75.2% | Mistral Small 4 leads |
| AA-HLESource | 9.5% | 14.7% | Trinity-Large-Preview leads |
| AA-Omniscience IndexSource | -29.9% | -44.2% | Mistral Small 4 leads |
| AA-Omniscience AccuracySource | 22.1% | 22.8% | Trinity-Large-Preview leads |
| AA-Omniscience Hallucination RateSource | 66.8% | 86.6% | Mistral Small 4 leads |
| MMLUSource | — | 87.2% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 75.2% | Not comparable |
| GPQA-DSource | — | 63.3% | Not comparable |
Math1 benchmarks
| Benchmark | Mistral Small 4 | Trinity-Large-Preview | Result |
|---|---|---|---|
| AIME25 (Arcee)Source | — | 24.0% | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Mistral Small 4 | Trinity-Large-Preview | Result |
|---|---|---|---|
| AA-IFBenchSource | 48.2% | 56.3% | Trinity-Large-Preview leads |
Frequently Asked Questions (3)
Can I compare Mistral Small 4 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 Small 4 and Trinity-Large-Preview today?
Mistral Small 4: $0.15 input / $0.60 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.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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