Model comparison
Claude Haiku 4.5 vs GPT-5.4 mini
Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Haiku 4.5 #77 (Estimated); GPT-5.4 mini #75 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Haiku 4.5 and GPT-5.4 mini share 2 comparable benchmark results. 1 of 8 categories are comparable. 3 results are unique to Claude Haiku 4.5; 28 to GPT-5.4 mini.
Updated July 23, 2026- Shared results
- 2
- Claude Haiku 4.5 only
- 3
- GPT-5.4 mini only
- 28
- Comparable categories
- 1 / 8
Pick GPT-5.4 mini if you want the stronger benchmark profile. Claude Haiku 4.5 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results 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
GPT-5.4 mini has the cleaner BenchAlign overall profile here, landing at 56.77 versus 56.58. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GPT-5.4 mini's sharpest advantage is in mathematics, where it averages 21.7 against 4.9. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 5.903% to 28.280%.
Claude Haiku 4.5 is also the more expensive model on tokens at $1.00 input / $5.00 output per 1M tokens, versus $0.75 input / $4.50 output per 1M tokens for GPT-5.4 mini. GPT-5.4 mini is the reasoning model in the pair, while Claude Haiku 4.5 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. GPT-5.4 mini gives you the larger context window at 400K, compared with 200K for Claude Haiku 4.5.
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 Haiku 4.5 | Δ | GPT-5.4 mini |
|---|---|---|---|
| Math | Claude Haiku 4.54.9 | Margin→ 16.8 | GPT-5.4 mini21.7 |
| Agentic | Claude Haiku 4.5Not measured | MarginNo overlap | GPT-5.4 mini65.7 |
| Coding | Claude Haiku 4.573.3 | MarginNo overlap | GPT-5.4 miniNot measured |
| Knowledge | Claude Haiku 4.5Not measured | MarginNo overlap | GPT-5.4 mini47.8 |
| Multimodal | Claude Haiku 4.5Not measured | MarginNo overlap | GPT-5.4 mini76.6 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 5.903%B 28.280%Winner: GPT-5.4 miniΔ 22.4FrontierMath v2 (Tiers 1-3): Claude Haiku 4.5 scored 5.903%; GPT-5.4 mini scored 28.280%. GPT-5.4 mini wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 2.083%B 2.080%Winner: Claude Haiku 4.5Δ 0FrontierMath v2 (Tier 4): Claude Haiku 4.5 scored 2.083%; GPT-5.4 mini scored 2.080%. Claude Haiku 4.5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Haiku 4.5 | GPT-5.4 mini | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Haiku 4.5$1 input / $5 output | GPT-5.4 mini$0.75 input / $4.5 output | GPT-5.4 mini has the lower combined listed price. |
| Generation speedtokens per second | Claude Haiku 4.5Not available | GPT-5.4 mini201 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Haiku 4.5Not available | GPT-5.4 mini3.85 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Haiku 4.5200K | GPT-5.4 mini400K | GPT-5.4 mini lists the larger context window. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | Claude Haiku 4.5 | GPT-5.4 mini | Result |
|---|---|---|---|
| JobBenchSource | 16.0% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 60% | Not comparable |
| OSWorld-VerifiedSource | — | 72.1% | Not comparable |
| MCP AtlasSource | — | 57.7% | Not comparable |
| ToolathlonSource | — | 42.9% | Not comparable |
| τ²-bench resultsSource | — | 83.3% | Not comparable |
| AA Agentic IndexSource | — | 30.2% | Not comparable |
| APEX-Agents-AASource | — | 28.2% | Not comparable |
| GDPval-AASource | — | 33.6% | Not comparable |
| GDPval-AASource | — | 1171 | Not comparable |
Coding5 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Claude Haiku 4.5 | GPT-5.4 mini | Result |
|---|---|---|---|
| GPQASource | — | 88% | Not comparable |
| HLESource | — | 41.5% | Not comparable |
| HLE w/o toolsSource | — | 28.2% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 40.0% | Not comparable |
| AA-GPQA DiamondSource | — | 87.5% | Not comparable |
| AA-HLESource | — | 26.6% | Not comparable |
| AA-Omniscience IndexSource | — | -18.7% | Not comparable |
| AA-Omniscience AccuracySource | — | 37.5% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 89.8% | Not comparable |
MathGPT-5.4 mini wins2 benchmarks
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Haiku 4.5 | GPT-5.4 mini | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 73.3% | Not comparable |
Frequently Asked Questions (2)
Which is better, Claude Haiku 4.5 or GPT-5.4 mini?
GPT-5.4 mini is ahead on BenchLM's BenchAlign leaderboard, 56.77 to 56.58. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 5.903% and 28.280%.
Which is better for math, Claude Haiku 4.5 or GPT-5.4 mini?
GPT-5.4 mini has the edge for math in this comparison, averaging 21.7 versus 4.9. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
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