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Model comparison

Mistral Large 2 vs o3-mini

Data verified

Head-to-head evidence from 5 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

40.92/100
Margin
5.7pts
winning →
OpenAI
46.59/100
0 category wins0 category wins

Public leaderboard positions: Mistral Large 2 #172 (Estimated); o3-mini #141 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Mistral Large 2 and o3-mini share 5 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to Mistral Large 2; 5 to o3-mini.

Updated July 24, 2026
Shared results
5
Mistral Large 2 only
6
o3-mini only
5
Comparable categories
0 / 8

Benchmark data for Mistral Large 2 and o3-mini is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 3 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.

o3-mini 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 o3-mini
CategoryMistral Large 2Δo3-mini
CodingMistral Large 2Not measuredMarginNo overlapo3-mini49.3
KnowledgeMistral Large 2Not measuredMarginNo overlapo3-mini77.2
Inst. FollowingMistral Large 2Not measuredMarginNo overlapo3-mini93.9

Operational comparison

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

MetricMistral Large 2o3-miniComparison
Input / output priceUSD per 1M tokensMistral Large 2Not availableo3-mini$1.1 input / $4.4 outputA complete price comparison is not available.
Generation speedtokens per secondMistral Large 238 tok/so3-mini160 tok/so3-mini has the higher measured throughput.
First-answer latencyseconds to first tokenMistral Large 21.45 so3-mini7.12 sMistral Large 2 reaches the first token sooner.
Context windowmaximum listed tokensMistral Large 2128Ko3-mini200Ko3-mini lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkMistral Large 2o3-miniResult
τ²-bench resultsSource 30.7%28.7%Mistral Large 2 leads
Coding
BenchmarkMistral Large 2o3-miniResult
AA-SciCodeSource 29.2%39.9%o3-mini leads
SWE-bench VerifiedSource 49.3%Not comparable
Reasoning
BenchmarkMistral Large 2o3-miniResult
AA-LCRSource 5.3%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkMistral Large 2o3-miniResult
Artificial Analysis Intelligence IndexSource 9.2%19.0%o3-mini leads
AA-GPQA DiamondSource 48.6%74.8%o3-mini leads
AA-HLESource 4.0%8.7%o3-mini leads
AA-Omniscience IndexSource -34.0%Not comparable
AA-Omniscience AccuracySource 20.1%Not comparable
AA-Omniscience Hallucination RateSource 67.8%Not comparable
MMLUSource 86.9%Not comparable
GPQASource 77.2%Not comparable
Math
BenchmarkMistral Large 2o3-miniResult
AIME 2024Source 87.3%Not comparable
Inst. Following
BenchmarkMistral Large 2o3-miniResult
AA-IFBenchSource 31.2%Not comparable
IFEvalSource 93.9%Not comparable
Frequently Asked Questions (3)

Can I compare Mistral Large 2 and o3-mini 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 o3-mini today?

Mistral Large 2: Pricing unavailable o3-mini: $1.10 input / $4.40 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