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Model comparison

Claude 3.5 Sonnet vs Mistral Large 3

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
47.74/100
Margin
2.7pts
winning →
50.4/100
0 category wins0 category wins

Public leaderboard positions: Claude 3.5 Sonnet #132 (Estimated); Mistral Large 3 #113 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude 3.5 Sonnet and Mistral Large 3 share 0 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to Claude 3.5 Sonnet; 16 to Mistral Large 3.

Updated July 21, 2026
Shared results
0
Claude 3.5 Sonnet only
4
Mistral Large 3 only
16
Comparable categories
0 / 8

Benchmark data for Claude 3.5 Sonnet and Mistral Large 3 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 3.5 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 3.5 Sonnet has the larger context window at 200K, compared with 128K for Mistral Large 3.

Operational comparison

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

MetricClaude 3.5 SonnetMistral Large 3Comparison
Input / output priceUSD per 1M tokensClaude 3.5 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 3.5 SonnetNot availableMistral Large 348 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude 3.5 SonnetNot availableMistral Large 31.04 sA complete latency comparison is not available.
Context windowmaximum listed tokensClaude 3.5 Sonnet200KMistral Large 3128KClaude 3.5 Sonnet lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude 3.5 SonnetMistral Large 3Result
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
BenchmarkClaude 3.5 SonnetMistral Large 3Result
SWE-bench VerifiedSource 49%Not comparable
AA Coding IndexSource 20.1%Not comparable
AA-SciCodeSource 36.2%Not comparable
Reasoning
BenchmarkClaude 3.5 SonnetMistral Large 3Result
AA-LCRSource 34.7%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkClaude 3.5 SonnetMistral Large 3Result
GPQASource 59.4%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
BenchmarkClaude 3.5 SonnetMistral Large 3Result
FrontierMath v2 (Tiers 1-3)Source 2.069%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkClaude 3.5 SonnetMistral Large 3Result
AA-MMMU-ProSource 55.7%Not comparable
Inst. Following
BenchmarkClaude 3.5 SonnetMistral Large 3Result
AA-IFBenchSource 36.2%Not comparable
Frequently Asked Questions (3)

Can I compare Claude 3.5 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 3.5 Sonnet and Mistral Large 3 today?

Claude 3.5 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 3.5 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 21, 2026

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