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Model comparison

Claude 3.5 Sonnet vs GPT-5.1-Codex

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
5.0pts
winning →
52.72/100
0 category wins0 category wins

Public leaderboard positions: Claude 3.5 Sonnet #132 (Estimated); GPT-5.1-Codex #99 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude 3.5 Sonnet and GPT-5.1-Codex share 0 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to Claude 3.5 Sonnet; 16 to GPT-5.1-Codex.

Updated July 23, 2026
Shared results
0
Claude 3.5 Sonnet only
4
GPT-5.1-Codex only
16
Comparable categories
0 / 8

Benchmark data for Claude 3.5 Sonnet and GPT-5.1-Codex 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.

GPT-5.1-Codex has the larger context window at 400K, compared with 200K for Claude 3.5 Sonnet.

Operational comparison

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

MetricClaude 3.5 SonnetGPT-5.1-CodexComparison
Input / output priceUSD per 1M tokensClaude 3.5 Sonnet$3 input / $15 outputGPT-5.1-CodexNot availableA complete price comparison is not available.
Generation speedtokens per secondClaude 3.5 SonnetNot availableGPT-5.1-CodexNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude 3.5 SonnetNot availableGPT-5.1-CodexNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude 3.5 Sonnet200KGPT-5.1-Codex400KGPT-5.1-Codex lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude 3.5 SonnetGPT-5.1-CodexResult
τ²-bench resultsSource 83%Not comparable
Gert LabsSource 49.68%Not comparable
JobBenchSource 26.2%Not comparable
Coding
BenchmarkClaude 3.5 SonnetGPT-5.1-CodexResult
SWE-bench VerifiedSource 49%Not comparable
Vibe Code BenchSource 13.12%Not comparable
AA-SciCodeSource 40.2%Not comparable
Reasoning
BenchmarkClaude 3.5 SonnetGPT-5.1-CodexResult
AA-LCRSource 67.3%Not comparable
CritPtSource 5.7%Not comparable
Knowledge
BenchmarkClaude 3.5 SonnetGPT-5.1-CodexResult
GPQASource 59.4%Not comparable
Artificial Analysis Intelligence IndexSource 34.7%Not comparable
AA-GPQA DiamondSource 86.0%Not comparable
AA-HLESource 23.4%Not comparable
AA-Omniscience IndexSource -6.0%Not comparable
AA-Omniscience AccuracySource 39.2%Not comparable
AA-Omniscience Hallucination RateSource 74.4%Not comparable
Math
BenchmarkClaude 3.5 SonnetGPT-5.1-CodexResult
FrontierMath v2 (Tiers 1-3)Source 2.069%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkClaude 3.5 SonnetGPT-5.1-CodexResult
AA-MMMU-ProSource 72.5%Not comparable
Design Arena WebsiteSource 1191Not comparable
Inst. Following
BenchmarkClaude 3.5 SonnetGPT-5.1-CodexResult
AA-IFBenchSource 70.0%Not comparable
Frequently Asked Questions (3)

Can I compare Claude 3.5 Sonnet and GPT-5.1-Codex 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 GPT-5.1-Codex today?

Claude 3.5 Sonnet: $3.00 input / $15.00 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 23, 2026

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