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Model comparison

GPT-4.1 mini vs Mistral Large 2

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.

43.1/100
Margin
2.2pts
← winning
40.92/100
0 category wins0 category wins

Public leaderboard positions: GPT-4.1 mini #160 (Estimated); Mistral Large 2 #172 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-4.1 mini and Mistral Large 2 share 11 comparable benchmark results. 0 of 8 categories are comparable. 11 results are unique to GPT-4.1 mini; 0 to Mistral Large 2.

Updated July 24, 2026
Shared results
11
GPT-4.1 mini only
11
Mistral Large 2 only
0
Comparable categories
0 / 8

Benchmark data for GPT-4.1 mini and Mistral Large 2 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.

GPT-4.1 mini 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 scores and score margins for GPT-4.1 mini and Mistral Large 2
CategoryGPT-4.1 miniΔMistral Large 2
CodingGPT-4.1 mini23.6MarginNo overlapMistral Large 2Not measured
KnowledgeGPT-4.1 mini64.2MarginNo overlapMistral Large 2Not measured
MathGPT-4.1 mini4.5MarginNo overlapMistral Large 2Not measured
Inst. FollowingGPT-4.1 mini88.5MarginNo overlapMistral Large 2Not measured

Operational comparison

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

MetricGPT-4.1 miniMistral Large 2Comparison
Input / output priceUSD per 1M tokensGPT-4.1 mini$0.4 input / $1.6 outputMistral Large 2Not availableA complete price comparison is not available.
Generation speedtokens per secondGPT-4.1 mini80 tok/sMistral Large 238 tok/sGPT-4.1 mini has the higher measured throughput.
First-answer latencyseconds to first tokenGPT-4.1 mini0.76 sMistral Large 21.45 sGPT-4.1 mini reaches the first token sooner.
Context windowmaximum listed tokensGPT-4.1 mini1MMistral Large 2128KGPT-4.1 mini lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-4.1 miniMistral Large 2Result
AA Agentic IndexSource 1.7%Not comparable
τ²-bench resultsSource 52.9%30.7%GPT-4.1 mini leads
GDPval-AASource 0.4%Not comparable
GDPval-AASource 508Not comparable
Coding
BenchmarkGPT-4.1 miniMistral Large 2Result
SWE-bench VerifiedSource 23.6%Not comparable
AA Coding IndexSource 20.2%Not comparable
AA-SciCodeSource 40.4%29.2%GPT-4.1 mini leads
Reasoning
BenchmarkGPT-4.1 miniMistral Large 2Result
AA-LCRSource 42.3%5.3%GPT-4.1 mini leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkGPT-4.1 miniMistral Large 2Result
MMLUSource 87.5%Not comparable
GPQASource 64.2%Not comparable
Artificial Analysis Intelligence IndexSource 14.8%9.2%GPT-4.1 mini leads
AA-GPQA DiamondSource 66.4%48.6%GPT-4.1 mini leads
AA-HLESource 4.6%4.0%GPT-4.1 mini leads
AA-Omniscience IndexSource -50.1%-34.0%Mistral Large 2 leads
AA-Omniscience AccuracySource 17.5%20.1%Mistral Large 2 leads
AA-Omniscience Hallucination RateSource 82.0%67.8%Mistral Large 2 leads
Math
BenchmarkGPT-4.1 miniMistral Large 2Result
FrontierMath v2 (Tiers 1-3)Source 4.483%Not comparable
Multimodal
BenchmarkGPT-4.1 miniMistral Large 2Result
AA-MMMU-ProSource 58.7%Not comparable
Design Arena WebsiteSource 1027Not comparable
Inst. Following
BenchmarkGPT-4.1 miniMistral Large 2Result
IFEvalSource 88.5%Not comparable
AA-IFBenchSource 38.3%31.2%GPT-4.1 mini leads
Frequently Asked Questions (3)

Can I compare GPT-4.1 mini 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-4.1 mini and Mistral Large 2 today?

GPT-4.1 mini: $0.40 input / $1.60 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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Last updated: July 24, 2026