Model comparison
Claude 3 Haiku vs GPT-5.3 Codex
Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude 3 Haiku #194 (Supported); GPT-5.3 Codex #26 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude 3 Haiku and GPT-5.3 Codex share 12 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Claude 3 Haiku; 9 to GPT-5.3 Codex.
Updated July 20, 2026- Shared results
- 12
- Claude 3 Haiku only
- 0
- GPT-5.3 Codex only
- 9
- Comparable categories
- 0 / 8
Benchmark data for Claude 3 Haiku and GPT-5.3 Codex 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.
GPT-5.3 Codex is priced at $1.75 input / $14.00 output per 1M tokens, versus $0.25 input / $1.25 output per 1M tokens for Claude 3 Haiku. GPT-5.3 Codex has the larger context window at 400K, compared with 200K for Claude 3 Haiku.
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 | Claude 3 Haiku | Δ | GPT-5.3 Codex |
|---|---|---|---|
| Agentic | Claude 3 HaikuNot measured | MarginNo overlap | GPT-5.3 Codex71.4 |
| Coding | Claude 3 HaikuNot measured | MarginNo overlap | GPT-5.3 Codex67.2 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude 3 Haiku | GPT-5.3 Codex | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude 3 Haiku$0.25 input / $1.25 output | GPT-5.3 Codex$1.75 input / $14 output | Claude 3 Haiku has the lower combined listed price. |
| Generation speedtokens per second | Claude 3 Haiku138 tok/s | GPT-5.3 Codex79 tok/s | Claude 3 Haiku has the higher measured throughput. |
| First-answer latencyseconds to first token | Claude 3 Haiku1.16 s | GPT-5.3 Codex88.26 s | Claude 3 Haiku reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude 3 Haiku200K | GPT-5.3 Codex400K | GPT-5.3 Codex lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding5 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Claude 3 Haiku | GPT-5.3 Codex | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 3.9% | 44.3% | GPT-5.3 Codex leads |
| AA-GPQA DiamondSource | 37.4% | 91.5% | GPT-5.3 Codex leads |
| AA-HLESource | 3.9% | 39.9% | GPT-5.3 Codex leads |
| AA-Omniscience IndexSource | -47.6% | 9.9% | GPT-5.3 Codex leads |
| AA-Omniscience AccuracySource | 17.2% | 51.8% | GPT-5.3 Codex leads |
| AA-Omniscience Hallucination RateSource | 78.2% | 86.9% | Claude 3 Haiku leads |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude 3 Haiku | GPT-5.3 Codex | Result |
|---|---|---|---|
| AA-IFBenchSource | 36.1% | 75.4% | GPT-5.3 Codex leads |
Frequently Asked Questions (3)
Can I compare Claude 3 Haiku 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 3 Haiku and GPT-5.3 Codex today?
Claude 3 Haiku: $0.25 input / $1.25 output per 1M tokens 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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