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Model comparison

Claude 4 Sonnet vs Mistral Large 3

Data verified

Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

42.79/100
Margin
7.6pts
winning →
50.4/100
0 category wins0 category wins

Public leaderboard positions: Claude 4 Sonnet #158 (Supported); Mistral Large 3 #113 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude 4 Sonnet and Mistral Large 3 share 12 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to Claude 4 Sonnet; 4 to Mistral Large 3.

Updated July 22, 2026
Shared results
12
Claude 4 Sonnet only
4
Mistral Large 3 only
4
Comparable categories
0 / 8

Benchmark data for Claude 4 Sonnet and Mistral Large 3 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 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.

Claude 4 Sonnet is priced at $3.00 input / $15.00 output per 1M tokens, versus $0.50 input / $1.50 output per 1M tokens for Mistral Large 3. Claude 4 Sonnet has the larger context window at 200K, 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 Claude 4 Sonnet and Mistral Large 3
CategoryClaude 4 SonnetΔMistral Large 3
CodingClaude 4 Sonnet72.7MarginNo overlapMistral Large 3Not measured

Operational comparison

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

MetricClaude 4 SonnetMistral Large 3Comparison
Input / output priceUSD per 1M tokensClaude 4 Sonnet$3 input / $15 outputMistral Large 3$0.5 input / $1.5 outputMistral Large 3 has the lower combined listed price.
Generation speedtokens per secondClaude 4 Sonnet40 tok/sMistral Large 348 tok/sMistral Large 3 has the higher measured throughput.
First-answer latencyseconds to first tokenClaude 4 Sonnet1.33 sMistral Large 31.04 sMistral Large 3 reaches the first token sooner.
Context windowmaximum listed tokensClaude 4 Sonnet200KMistral Large 3128KClaude 4 Sonnet lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude 4 SonnetMistral Large 3Result
τ²-bench resultsSource 52.3%24.6%Claude 4 Sonnet leads
Gert LabsSource 39.66%Not comparable
JobBenchSource 18.4%Not comparable
AA Agentic IndexSource 5.5%Not comparable
GDPval-AASource 6.6%Not comparable
GDPval-AASource 633Not comparable
Coding
BenchmarkClaude 4 SonnetMistral Large 3Result
SWE-bench VerifiedSource 72.7%Not comparable
AA-SciCodeSource 37.3%36.2%Claude 4 Sonnet leads
AA Coding IndexSource 20.1%Not comparable
Reasoning
BenchmarkClaude 4 SonnetMistral Large 3Result
AA-LCRSource 44.3%34.7%Claude 4 Sonnet leads
CritPtSource 1.1%0.0%Claude 4 Sonnet leads
Knowledge
BenchmarkClaude 4 SonnetMistral Large 3Result
Artificial Analysis Intelligence IndexSource 25.5%15.9%Claude 4 Sonnet leads
AA-GPQA DiamondSource 68.3%68.0%Claude 4 Sonnet leads
AA-HLESource 4.0%4.1%Mistral Large 3 leads
AA-Omniscience IndexSource -9.2%-39.4%Claude 4 Sonnet leads
AA-Omniscience AccuracySource 22.4%24.1%Mistral Large 3 leads
AA-Omniscience Hallucination RateSource 40.8%83.7%Claude 4 Sonnet leads
Multimodal
BenchmarkClaude 4 SonnetMistral Large 3Result
AA-MMMU-ProSource 62.4%55.7%Claude 4 Sonnet leads
Design Arena WebsiteSource 1175Not comparable
Inst. Following
BenchmarkClaude 4 SonnetMistral Large 3Result
AA-IFBenchSource 45.4%36.2%Claude 4 Sonnet leads
Frequently Asked Questions (3)

Can I compare Claude 4 Sonnet 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 Claude 4 Sonnet and Mistral Large 3 today?

Claude 4 Sonnet: $3.00 input / $15.00 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.

Claude 4 Sonnet
API / mo$13,500
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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