Model comparison
Claude Opus 4.7 vs GPT-5.4 mini
Head-to-head evidence from 17 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
BenchAlign evidence: Claude Opus 4.7 supported; GPT-5.4 mini estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.7 and GPT-5.4 mini share 17 comparable benchmark results. 1 of 8 categories are comparable. 5 results are unique to Claude Opus 4.7; 14 to GPT-5.4 mini.
Updated July 15, 2026- Shared results
- 17
- Claude Opus 4.7 only
- 5
- GPT-5.4 mini only
- 14
- Comparable categories
- 1 / 8
Pick Claude Opus 4.7 if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 17 shared benchmark results across 7 evidence categories; 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 Opus 4.7 is clearly ahead on the provisional aggregate, 69 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.7's sharpest advantage is in mathematics, where it averages 38.6 against 21.7. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 22.917% to 2.080%.
Claude Opus 4.7 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.75 input / $4.50 output per 1M tokens for GPT-5.4 mini. That is roughly 5.6x on output cost alone. GPT-5.4 mini is the reasoning model in the pair, while Claude Opus 4.7 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. Claude Opus 4.7 gives you the larger context window at 1M, compared with 400K for GPT-5.4 mini.
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 Opus 4.7 | Δ | GPT-5.4 mini |
|---|---|---|---|
| Math | Claude Opus 4.738.6 | Margin← 16.9 | GPT-5.4 mini21.7 |
| Agentic | Claude Opus 4.7Not measured | MarginNo overlap | GPT-5.4 mini65.7 |
| Knowledge | Claude Opus 4.7Not measured | MarginNo overlap | GPT-5.4 mini47.8 |
| Multimodal | Claude Opus 4.7Not 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 (Tier 4)
MathA 22.917%B 2.080%Winner: Claude Opus 4.7Δ 20.8FrontierMath v2 (Tier 4): Claude Opus 4.7 scored 22.917%; GPT-5.4 mini scored 2.080%. Claude Opus 4.7 wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 43.793%B 28.280%Winner: Claude Opus 4.7Δ 15.5FrontierMath v2 (Tiers 1-3): Claude Opus 4.7 scored 43.793%; GPT-5.4 mini scored 28.280%. Claude Opus 4.7 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.7 | GPT-5.4 mini | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.7$5 input / $25 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 Opus 4.7Not available | GPT-5.4 mini201 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.7Not available | GPT-5.4 mini3.85 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.71M | GPT-5.4 mini400K | Claude Opus 4.7 lists the larger context window. |
Benchmark Deep Dive
Agentic12 benchmarks
| Benchmark | Claude Opus 4.7 | GPT-5.4 mini | Result |
|---|---|---|---|
| τ²-bench resultsSource | 74% | 93.4% | GPT-5.4 mini leads |
| Gert LabsSource | 65.59% | — | Not comparable |
| ResearchClawBenchSource | 20.7% | — | Not comparable |
| OSWorld 2.0Source | 13.9% | — | 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 |
| AA Agentic IndexSource | — | 30.2% | Not comparable |
| APEX-Agents-AASource | — | 28.2% | Not comparable |
| GDPval-AASource | — | 33.5% | Not comparable |
| GDPval-AASource | — | 1171 | Not comparable |
Coding6 benchmarks
| Benchmark | Claude Opus 4.7 | GPT-5.4 mini | Result |
|---|---|---|---|
| Vibe Code BenchSource | 71.00% | 47.97% | Claude Opus 4.7 leads |
| React Native EvalsSource | 82.8% | — | Not comparable |
| Terminal-Bench HardSource | 54.5% | 52.3% | Claude Opus 4.7 leads |
| AA-SciCodeSource | 50.1% | 49.9% | Claude Opus 4.7 leads |
| FrontierCodeSource | 38.5% | 27.0% | Claude Opus 4.7 leads |
| AA Coding IndexSource | — | 56.1% | Not comparable |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Claude Opus 4.7 | GPT-5.4 mini | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 42.7% | 40.0% | Claude Opus 4.7 leads |
| AA-GPQA DiamondSource | 88.5% | 87.5% | Claude Opus 4.7 leads |
| AA-HLESource | 31.2% | 26.6% | Claude Opus 4.7 leads |
| AA-Omniscience IndexSource | 14.2% | -18.7% | Claude Opus 4.7 leads |
| AA-Omniscience AccuracySource | 43.5% | 37.5% | Claude Opus 4.7 leads |
| AA-Omniscience Hallucination RateSource | 51.9% | 89.8% | Claude Opus 4.7 leads |
| GPQASource | — | 88% | Not comparable |
| HLESource | — | 41.5% | Not comparable |
| HLE w/o toolsSource | — | 28.2% | Not comparable |
MathClaude Opus 4.7 wins2 benchmarks
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.7 | GPT-5.4 mini | Result |
|---|---|---|---|
| AA-IFBenchSource | 43.6% | 73.3% | GPT-5.4 mini leads |
Frequently Asked Questions (2)
Which is better, Claude Opus 4.7 or GPT-5.4 mini?
Claude Opus 4.7 is ahead on BenchLM's provisional leaderboard, 69 to 64. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 22.917% and 2.080%.
Which is better for math, Claude Opus 4.7 or GPT-5.4 mini?
Claude Opus 4.7 has the edge for math in this comparison, averaging 38.6 versus 21.7. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.
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