Model comparison
Mistral Large 2 vs Phi-4
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Mistral Large 2 #163 (Estimated); Phi-4 #192 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mistral Large 2 and Phi-4 share 11 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Mistral Large 2; 0 to Phi-4.
Updated July 24, 2026- Shared results
- 11
- Mistral Large 2 only
- 0
- Phi-4 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Mistral Large 2 and Phi-4 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 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.
Mistral Large 2 has the larger context window at 128K, compared with 16K for Phi-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 Large 2 | Phi-4 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Large 2Not available | Phi-4$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Mistral Large 238 tok/s | Phi-435 tok/s | Mistral Large 2 has the higher measured throughput. |
| First-answer latencyseconds to first token | Mistral Large 21.45 s | Phi-42.02 s | Mistral Large 2 reaches the first token sooner. |
| Context windowmaximum listed tokens | Mistral Large 2128K | Phi-416K | Mistral Large 2 lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Mistral Large 2 | Phi-4 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 30.7% | 0% | Mistral Large 2 leads |
Coding1 benchmarks
| Benchmark | Mistral Large 2 | Phi-4 | Result |
|---|---|---|---|
| AA-SciCodeSource | 29.2% | 26.0% | Mistral Large 2 leads |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Mistral Large 2 | Phi-4 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 9.2% | 4.9% | Mistral Large 2 leads |
| AA-GPQA DiamondSource | 48.6% | 57.5% | Phi-4 leads |
| AA-HLESource | 4.0% | 4.1% | Phi-4 leads |
| AA-Omniscience IndexSource | -34.0% | -56.7% | Mistral Large 2 leads |
| AA-Omniscience AccuracySource | 20.1% | 13.2% | Mistral Large 2 leads |
| AA-Omniscience Hallucination RateSource | 67.8% | 80.5% | Mistral Large 2 leads |
Inst. Following1 benchmarks
| Benchmark | Mistral Large 2 | Phi-4 | Result |
|---|---|---|---|
| AA-IFBenchSource | 31.2% | 23.5% | Mistral Large 2 leads |
Frequently Asked Questions (3)
Can I compare Mistral Large 2 and Phi-4 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 Phi-4 today?
Mistral Large 2: Pricing unavailable Phi-4: $0.00 input / $0.00 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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