Model comparison
Mistral Large 2 vs Step 3.7 Flash
Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
BenchAlign evidence: Mistral Large 2 estimated; Step 3.7 Flash estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mistral Large 2 and Step 3.7 Flash share 12 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Mistral Large 2; 18 to Step 3.7 Flash.
Updated July 16, 2026- Shared results
- 12
- Mistral Large 2 only
- 0
- Step 3.7 Flash only
- 18
- Comparable categories
- 0 / 8
Benchmark data for Mistral Large 2 and Step 3.7 Flash is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 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.
Step 3.7 Flash has the larger context window at 256K, compared with 128K for Mistral Large 2.
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 Large 2 | Δ | Step 3.7 Flash |
|---|---|---|---|
| Agentic | Mistral Large 2Not measured | MarginNo overlap | Step 3.7 Flash66.4 |
| Coding | Mistral Large 2Not measured | MarginNo overlap | Step 3.7 Flash56.3 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mistral Large 2 | Step 3.7 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Large 2Not available | Step 3.7 Flash$0.2 input / $1.15 output | A complete price comparison is not available. |
| Generation speedtokens per second | Mistral Large 238 tok/s | Step 3.7 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral Large 21.45 s | Step 3.7 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral Large 2128K | Step 3.7 Flash256K | Step 3.7 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic12 benchmarks
| Benchmark | Mistral Large 2 | Step 3.7 Flash | Result |
|---|---|---|---|
| τ²-bench resultsSource | 30.7% | 98.5% | Step 3.7 Flash leads |
| Terminal-Bench 2.0Source | — | 59.5% | Not comparable |
| BrowseCompSource | — | 75.8% | Not comparable |
| DeepSearchQASource | — | 92.8% | Not comparable |
| GDPval-AASource | — | 25.9% | Not comparable |
| ToolathlonSource | — | 49.5% | Not comparable |
| Claw-EvalSource | — | 67.1% | Not comparable |
| HLE w/ toolsSource | — | 47.2% | Not comparable |
| Gert LabsSource | — | 51.57% | Not comparable |
| AA Agentic IndexSource | — | 21.5% | Not comparable |
| GDPval-AASource | — | 1017 | Not comparable |
| APEX-Agents-AASource | — | 14.8% | Not comparable |
Coding5 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Mistral Large 2 | Step 3.7 Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 9.2% | 30.3% | Step 3.7 Flash leads |
| AA-GPQA DiamondSource | 48.6% | 80.9% | Step 3.7 Flash leads |
| AA-HLESource | 4.0% | 19.9% | Step 3.7 Flash leads |
| AA-Omniscience IndexSource | -34.0% | -37.5% | Mistral Large 2 leads |
| AA-Omniscience AccuracySource | 20.1% | 25.4% | Step 3.7 Flash leads |
| AA-Omniscience Hallucination RateSource | 67.8% | 84.4% | Mistral Large 2 leads |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | Mistral Large 2 | Step 3.7 Flash | Result |
|---|---|---|---|
| AA-IFBenchSource | 31.2% | 67.3% | Step 3.7 Flash leads |
Frequently Asked Questions (3)
Can I compare Mistral Large 2 and Step 3.7 Flash 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 Large 2 and Step 3.7 Flash today?
Mistral Large 2: Pricing unavailable Step 3.7 Flash: $0.20 input / $1.15 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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