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Model comparison

Mistral Large 2 vs o1

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

41.77/100
Margin
6.3pts
winning →
OpenAI
48.1/100
0 category wins0 category wins

Public leaderboard positions: Mistral Large 2 #163 (Estimated); o1 #129 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Mistral Large 2 and o1 share 11 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Mistral Large 2; 5 to o1.

Updated July 24, 2026
Shared results
11
Mistral Large 2 only
0
o1 only
5
Comparable categories
0 / 8

Benchmark data for Mistral Large 2 and o1 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.

o1 has the larger context window at 200K, 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 scores and score margins for Mistral Large 2 and o1
CategoryMistral Large 2Δo1
KnowledgeMistral Large 2Not measuredMarginNo overlapo175.7
MathMistral Large 2Not measuredMarginNo overlapo19.3
Inst. FollowingMistral Large 2Not measuredMarginNo overlapo192.2

Operational comparison

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

MetricMistral Large 2o1Comparison
Input / output priceUSD per 1M tokensMistral Large 2Not availableo1$15 input / $60 outputA complete price comparison is not available.
Generation speedtokens per secondMistral Large 238 tok/so198 tok/so1 has the higher measured throughput.
First-answer latencyseconds to first tokenMistral Large 21.45 so132.29 sMistral Large 2 reaches the first token sooner.
Context windowmaximum listed tokensMistral Large 2128Ko1200Ko1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkMistral Large 2o1Result
τ²-bench resultsSource 30.7%62.6%o1 leads
Coding
BenchmarkMistral Large 2o1Result
AA-SciCodeSource 29.2%35.8%o1 leads
AA Coding IndexSource 39.7%Not comparable
Reasoning
BenchmarkMistral Large 2o1Result
AA-LCRSource 5.3%59.3%o1 leads
CritPtSource 0.0%0.3%o1 leads
Knowledge
BenchmarkMistral Large 2o1Result
Artificial Analysis Intelligence IndexSource 9.2%23.4%o1 leads
AA-GPQA DiamondSource 48.6%74.7%o1 leads
AA-HLESource 4.0%7.7%o1 leads
AA-Omniscience IndexSource -34.0%-10.5%o1 leads
AA-Omniscience AccuracySource 20.1%34.7%o1 leads
AA-Omniscience Hallucination RateSource 67.8%69.3%Mistral Large 2 leads
MMLUSource 91.8%Not comparable
GPQASource 75.7%Not comparable
Math
BenchmarkMistral Large 2o1Result
FrontierMath v2 (Tiers 1-3)Source 9.310%Not comparable
Inst. Following
BenchmarkMistral Large 2o1Result
AA-IFBenchSource 31.2%70.3%o1 leads
IFEvalSource 92.2%Not comparable
Frequently Asked Questions (3)

Can I compare Mistral Large 2 and o1 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 o1 today?

Mistral Large 2: Pricing unavailable o1: $15.00 input / $60.00 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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Last updated: July 24, 2026

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