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Model comparison

GPT-5.5 Pro vs Mistral Large 3

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

63.69/100
Margin
13.3pts
← winning
50.4/100
0 category wins0 category wins

Public leaderboard positions: GPT-5.5 Pro #38 (Estimated); Mistral Large 3 #113 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.5 Pro and Mistral Large 3 share 1 comparable benchmark result. 0 of 8 categories are comparable. 6 results are unique to GPT-5.5 Pro; 15 to Mistral Large 3.

Updated July 22, 2026
Shared results
1
GPT-5.5 Pro only
6
Mistral Large 3 only
15
Comparable categories
0 / 8

Benchmark data for GPT-5.5 Pro and Mistral Large 3 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 is priced at $30.00 input / $180.00 output per 1M tokens, versus $0.50 input / $1.50 output per 1M tokens for Mistral Large 3. GPT-5.5 Pro has the larger context window at 1M, compared with 128K for Mistral Large 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.

Category scores and score margins for GPT-5.5 Pro and Mistral Large 3
CategoryGPT-5.5 ProΔMistral Large 3
AgenticGPT-5.5 Pro90.1MarginNo overlapMistral Large 3Not measured
KnowledgeGPT-5.5 Pro57.2MarginNo overlapMistral Large 3Not measured
MathGPT-5.5 Pro48.1MarginNo overlapMistral Large 3Not measured

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGPT-5.5 ProMistral Large 3Comparison
Input / output priceUSD per 1M tokensGPT-5.5 Pro$30 input / $180 outputMistral Large 3$0.5 input / $1.5 outputMistral Large 3 has the lower combined listed price.
Generation speedtokens per secondGPT-5.5 ProNot availableMistral Large 348 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.5 ProNot availableMistral Large 31.04 sA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.5 Pro1MMistral Large 3128KGPT-5.5 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.5 ProMistral Large 3Result
BrowseCompSource 90.1%Not comparable
AA Agentic IndexSource 5.5%Not comparable
τ²-bench resultsSource 24.6%Not comparable
GDPval-AASource 6.6%Not comparable
GDPval-AASource 633Not comparable
Coding
BenchmarkGPT-5.5 ProMistral Large 3Result
AA Coding IndexSource 20.1%Not comparable
AA-SciCodeSource 36.2%Not comparable
Reasoning
BenchmarkGPT-5.5 ProMistral Large 3Result
CritPtSource 30.6%0.0%GPT-5.5 Pro leads
AA-LCRSource 34.7%Not comparable
Knowledge
BenchmarkGPT-5.5 ProMistral Large 3Result
HLESource 57.2%Not comparable
HLE w/o toolsSource 43.1%Not comparable
Artificial Analysis Intelligence IndexSource 15.9%Not comparable
AA-GPQA DiamondSource 68.0%Not comparable
AA-HLESource 4.1%Not comparable
AA-Omniscience IndexSource -39.4%Not comparable
AA-Omniscience AccuracySource 24.1%Not comparable
AA-Omniscience Hallucination RateSource 83.7%Not comparable
Math
BenchmarkGPT-5.5 ProMistral Large 3Result
FrontierMath (legacy)Source 52.4%Not comparable
FrontierMath v2 (Tiers 1-3)Source 51.000%Not comparable
FrontierMath v2 (Tier 4)Source 39.600%Not comparable
Multimodal
BenchmarkGPT-5.5 ProMistral Large 3Result
AA-MMMU-ProSource 55.7%Not comparable
Inst. Following
BenchmarkGPT-5.5 ProMistral Large 3Result
AA-IFBenchSource 36.2%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-5.5 Pro and Mistral Large 3 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 3 today?

GPT-5.5 Pro: $30.00 input / $180.00 output per 1M tokens Mistral Large 3: $0.50 input / $1.50 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.

GPT-5.5 Pro
API / mo$157,500
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Mistral Large 3
API / mo$1,500
Self-host / mo$9,110
Break-even380M/day
Model the full break-even

Related Comparisons

Last updated: July 22, 2026

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