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Model comparison

Claude Haiku 4.5 Thinking vs GPT-5.3 Codex

Data verified

Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No comparison
66.69/100
0 category wins0 category wins

Public leaderboard positions: Claude Haiku 4.5 Thinking unranked (Not scored); GPT-5.3 Codex #26 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Haiku 4.5 Thinking and GPT-5.3 Codex share 2 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Claude Haiku 4.5 Thinking; 19 to GPT-5.3 Codex.

Updated July 23, 2026
Shared results
2
Claude Haiku 4.5 Thinking only
0
GPT-5.3 Codex only
19
Comparable categories
0 / 8

Benchmark data for Claude Haiku 4.5 Thinking and GPT-5.3 Codex is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 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-5.3 Codex has the larger context window at 400K, compared with 200K for Claude Haiku 4.5 Thinking.

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 Haiku 4.5 Thinking and GPT-5.3 Codex
CategoryClaude Haiku 4.5 ThinkingΔGPT-5.3 Codex
AgenticClaude Haiku 4.5 ThinkingNot measuredMarginNo overlapGPT-5.3 Codex71.4
CodingClaude Haiku 4.5 ThinkingNot measuredMarginNo overlapGPT-5.3 Codex67.2

Operational comparison

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

MetricClaude Haiku 4.5 ThinkingGPT-5.3 CodexComparison
Input / output priceUSD per 1M tokensClaude Haiku 4.5 ThinkingNot availableGPT-5.3 Codex$1.75 input / $14 outputA complete price comparison is not available.
Generation speedtokens per secondClaude Haiku 4.5 ThinkingNot availableGPT-5.3 Codex79 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Haiku 4.5 ThinkingNot availableGPT-5.3 Codex88.26 sA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Haiku 4.5 Thinking200KGPT-5.3 Codex400KGPT-5.3 Codex lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Haiku 4.5 ThinkingGPT-5.3 CodexResult
Terminal-Bench 2.0Source 77.3%Not comparable
OSWorld-VerifiedSource 64.7%Not comparable
τ²-bench resultsSource 86%Not comparable
Gert LabsSource 57.47%Not comparable
JobBenchSource 33.7%Not comparable
Coding
BenchmarkClaude Haiku 4.5 ThinkingGPT-5.3 CodexResult
Vibe Code BenchSource 11.39%61.77%GPT-5.3 Codex leads
SWE-bench VerifiedSource 85%Not comparable
SWE-bench ProSource 56.8%Not comparable
SWE-RebenchSource 58.2%Not comparable
AA-SciCodeSource 53.2%Not comparable
Reasoning
BenchmarkClaude Haiku 4.5 ThinkingGPT-5.3 CodexResult
AA-LCRSource 74.0%Not comparable
CritPtSource 16.9%Not comparable
Knowledge
BenchmarkClaude Haiku 4.5 ThinkingGPT-5.3 CodexResult
Artificial Analysis Intelligence IndexSource 44.3%Not comparable
AA-GPQA DiamondSource 91.5%Not comparable
AA-HLESource 39.9%Not comparable
AA-Omniscience IndexSource 9.9%Not comparable
AA-Omniscience AccuracySource 51.8%Not comparable
AA-Omniscience Hallucination RateSource 86.9%Not comparable
Multimodal
BenchmarkClaude Haiku 4.5 ThinkingGPT-5.3 CodexResult
Design Arena WebsiteSource 11521193GPT-5.3 Codex leads
AA-MMMU-ProSource 78.5%Not comparable
Inst. Following
BenchmarkClaude Haiku 4.5 ThinkingGPT-5.3 CodexResult
AA-IFBenchSource 75.4%Not comparable
Frequently Asked Questions (3)

Can I compare Claude Haiku 4.5 Thinking and GPT-5.3 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 Haiku 4.5 Thinking and GPT-5.3 Codex today?

GPT-5.3 Codex: $1.75 input / $14.00 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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