Model comparison
GPT-5.5 Pro vs Mistral Large 2
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.5 Pro #38 (Estimated); Mistral Large 2 #163 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.5 Pro and Mistral Large 2 share 1 comparable benchmark result. 0 of 8 categories are comparable. 6 results are unique to GPT-5.5 Pro; 10 to Mistral Large 2.
Updated July 22, 2026- Shared results
- 1
- GPT-5.5 Pro only
- 6
- Mistral Large 2 only
- 10
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.5 Pro and Mistral Large 2 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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.
GPT-5.5 Pro has the larger context window at 1M, 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 | GPT-5.5 Pro | Δ | Mistral Large 2 |
|---|---|---|---|
| Agentic | GPT-5.5 Pro90.1 | MarginNo overlap | Mistral Large 2Not measured |
| Knowledge | GPT-5.5 Pro57.2 | MarginNo overlap | Mistral Large 2Not measured |
| Math | GPT-5.5 Pro48.1 | MarginNo overlap | Mistral Large 2Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.5 Pro | Mistral Large 2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.5 Pro$30 input / $180 output | Mistral Large 2Not available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.5 ProNot available | Mistral Large 238 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.5 ProNot available | Mistral Large 21.45 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.5 Pro1M | Mistral Large 2128K | GPT-5.5 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding1 benchmarks
| Benchmark | GPT-5.5 Pro | Mistral Large 2 | Result |
|---|---|---|---|
| AA-SciCodeSource | — | 29.2% | Not comparable |
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | GPT-5.5 Pro | Mistral Large 2 | Result |
|---|---|---|---|
| HLESource | 57.2% | — | Not comparable |
| HLE w/o toolsSource | 43.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 9.2% | Not comparable |
| AA-GPQA DiamondSource | — | 48.6% | Not comparable |
| AA-HLESource | — | 4.0% | Not comparable |
| AA-Omniscience IndexSource | — | -34.0% | Not comparable |
| AA-Omniscience AccuracySource | — | 20.1% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 67.8% | Not comparable |
Math3 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.5 Pro | Mistral Large 2 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 31.2% | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-5.5 Pro and Mistral Large 2 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 GPT-5.5 Pro and Mistral Large 2 today?
GPT-5.5 Pro: $30.00 input / $180.00 output per 1M tokens Mistral Large 2: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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