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Model comparison

Claude 3.5 Sonnet vs Mistral Medium 3.5 128B

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

46.9/100
No comparison
0 category wins1 category wins

Public leaderboard positions: Claude 3.5 Sonnet #139 (Estimated); Mistral Medium 3.5 128B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude 3.5 Sonnet and Mistral Medium 3.5 128B share 1 comparable benchmark result. 1 of 8 categories are comparable. 3 results are unique to Claude 3.5 Sonnet; 24 to Mistral Medium 3.5 128B.

Updated July 27, 2026
Shared results
1
Claude 3.5 Sonnet only
3
Mistral Medium 3.5 128B only
24
Comparable categories
1 / 8

Treat this as a split decision. Claude 3.5 Sonnet makes more sense if you would rather avoid the extra latency and token burn of a reasoning model; Mistral Medium 3.5 128B is the better fit if coding is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Claude 3.5 Sonnet and Mistral Medium 3.5 128B finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

Claude 3.5 Sonnet is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $1.50 input / $7.50 output per 1M tokens for Mistral Medium 3.5 128B. That is roughly 2.0x on output cost alone. Mistral Medium 3.5 128B is the reasoning model in the pair, while Claude 3.5 Sonnet is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Mistral Medium 3.5 128B gives you the larger context window at 256K, compared with 200K for Claude 3.5 Sonnet.

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 3.5 Sonnet and Mistral Medium 3.5 128B
CategoryClaude 3.5 SonnetΔMistral Medium 3.5 128B
CodingClaude 3.5 Sonnet49.0Margin 28.6Mistral Medium 3.5 128B77.6
KnowledgeClaude 3.5 Sonnet59.4MarginNo overlapMistral Medium 3.5 128BNot measured
MathClaude 3.5 Sonnet1.6MarginNo overlapMistral Medium 3.5 128BNot measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Claude 3.5 SonnetB · Mistral Medium 3.5 128B
  1. SWE-bench Verified

    Coding
    Source ↗
    A 49%B 77.6%
    Winner: Mistral Medium 3.5 128BΔ 28.6
    SWE-bench Verified: Claude 3.5 Sonnet scored 49%; Mistral Medium 3.5 128B scored 77.6%. Mistral Medium 3.5 128B wins this benchmark.

Operational comparison

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

MetricClaude 3.5 SonnetMistral Medium 3.5 128BComparison
Input / output priceUSD per 1M tokensClaude 3.5 Sonnet$3 input / $15 outputMistral Medium 3.5 128B$1.5 input / $7.5 outputMistral Medium 3.5 128B has the lower combined listed price.
Generation speedtokens per secondClaude 3.5 SonnetNot availableMistral Medium 3.5 128BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude 3.5 SonnetNot availableMistral Medium 3.5 128BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude 3.5 Sonnet200KMistral Medium 3.5 128B256KMistral Medium 3.5 128B lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude 3.5 SonnetMistral Medium 3.5 128BResult
τ³-bench resultsSource 91.4%Not comparable
AA Agentic IndexSource 19.0%Not comparable
τ²-bench resultsSource 94.2%Not comparable
GDPval-AASource 21.6%Not comparable
GDPval-AASource 933Not comparable
Gert LabsSource 39.10%Not comparable
AA EnterpriseOps-GymSource 33.7%Not comparable
AA Harvey LABSource 69.1%Not comparable
terminalBenchHardSource 33.3%Not comparable
AA BriefcaseSource 516Not comparable
AA Tau3 BankingSource 14.4%Not comparable
CodingMistral Medium 3.5 128B wins
BenchmarkClaude 3.5 SonnetMistral Medium 3.5 128BResult
SWE-bench VerifiedSource 49%77.6%Mistral Medium 3.5 128B leads
AA Coding IndexSource 46.9%Not comparable
AA-SciCodeSource 39.6%Not comparable
Reasoning
BenchmarkClaude 3.5 SonnetMistral Medium 3.5 128BResult
AA-LCRSource 61.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkClaude 3.5 SonnetMistral Medium 3.5 128BResult
GPQASource 59.4%Not comparable
Artificial Analysis Intelligence IndexSource 29.9%Not comparable
AA-GPQA DiamondSource 74.8%Not comparable
AA-HLESource 12.8%Not comparable
AA-Omniscience IndexSource -36.3%Not comparable
AA-Omniscience AccuracySource 25.1%Not comparable
AA-Omniscience Hallucination RateSource 82.0%Not comparable
AA Openness IndexSource 33.3%Not comparable
Math
BenchmarkClaude 3.5 SonnetMistral Medium 3.5 128BResult
FrontierMath v2 (Tiers 1-3)Source 2.069%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkClaude 3.5 SonnetMistral Medium 3.5 128BResult
AA-MMMU-ProSource 64.9%Not comparable
Inst. Following
BenchmarkClaude 3.5 SonnetMistral Medium 3.5 128BResult
AA-IFBenchSource 68.8%Not comparable
Frequently Asked Questions (2)

Which is better, Claude 3.5 Sonnet or Mistral Medium 3.5 128B?

Claude 3.5 Sonnet and Mistral Medium 3.5 128B are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for coding, Claude 3.5 Sonnet or Mistral Medium 3.5 128B?

Mistral Medium 3.5 128B has the edge for coding in this comparison, averaging 77.6 versus 49. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.

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Last updated: July 27, 2026

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