Model comparison
Claude Opus 4.6 vs o4-mini (high)
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 Opus 4.6 #16 (Supported); o4-mini (high) #118 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.6 and o4-mini (high) share 2 comparable benchmark results. 1 of 8 categories are comparable. 44 results are unique to Claude Opus 4.6; 0 to o4-mini (high).
Updated July 20, 2026- Shared results
- 2
- Claude Opus 4.6 only
- 44
- o4-mini (high) only
- 0
- Comparable categories
- 1 / 8
Pick Claude Opus 4.6 if you want the stronger benchmark profile. o4-mini (high) only becomes the better choice if you want the stronger reasoning-first profile.
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
Claude Opus 4.6 is clearly ahead on the BenchAlign aggregate, 68.59 to 49.98. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.6's sharpest advantage is in mathematics, where it averages 36.3 against 20.2. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 22.900% to 6.250%.
o4-mini (high) is the reasoning model in the pair, while Claude Opus 4.6 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 4.6 gives you the larger context window at 1M, compared with 200K for o4-mini (high).
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 4.6 | Δ | o4-mini (high) |
|---|---|---|---|
| Math | Claude Opus 4.636.3 | Margin← 16.1 | o4-mini (high)20.2 |
| Agentic | Claude Opus 4.673.0 | MarginNo overlap | o4-mini (high)Not measured |
| Coding | Claude Opus 4.668.1 | MarginNo overlap | o4-mini (high)Not measured |
| Knowledge | Claude Opus 4.669.1 | MarginNo overlap | o4-mini (high)Not measured |
| Multimodal | Claude Opus 4.677.3 | MarginNo overlap | o4-mini (high)Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tier 4)
MathA 22.900%B 6.250%Winner: Claude Opus 4.6Δ 16.7FrontierMath v2 (Tier 4): Claude Opus 4.6 scored 22.900%; o4-mini (high) scored 6.250%. Claude Opus 4.6 wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 40.700%B 24.828%Winner: Claude Opus 4.6Δ 15.9FrontierMath v2 (Tiers 1-3): Claude Opus 4.6 scored 40.700%; o4-mini (high) scored 24.828%. Claude Opus 4.6 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.6 | o4-mini (high) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.6$5 input / $25 output | o4-mini (high)Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Opus 4.640 tok/s | o4-mini (high)161 tok/s | o4-mini (high) has the higher measured throughput. |
| First-answer latencyseconds to first token | Claude Opus 4.61.78 s | o4-mini (high)21.94 s | Claude Opus 4.6 reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude Opus 4.61M | o4-mini (high)200K | Claude Opus 4.6 lists the larger context window. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | Claude Opus 4.6 | o4-mini (high) | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 65.4% | — | Not comparable |
| BrowseCompSource | 83.7% | — | Not comparable |
| OSWorld-VerifiedSource | 72.7% | — | Not comparable |
| τ²-bench resultsSource | 84.8% | — | Not comparable |
| Claw-EvalSource | 70.4% | — | Not comparable |
| DeepSearchQASource | 73.7% | — | Not comparable |
| CyberGymSource | 66.6% | — | Not comparable |
| Gert LabsSource | 61.85% | — | Not comparable |
| ResearchClawBenchSource | 19.9% | — | Not comparable |
| JobBenchSource | 36.7% | — | Not comparable |
Coding9 benchmarks
| Benchmark | Claude Opus 4.6 | o4-mini (high) | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.8% | — | Not comparable |
| SWE-bench Verified*Source | 75.6% | — | Not comparable |
| LiveCodeBench ProSource | 70.7% | — | Not comparable |
| SWE-bench ProSource | 53.4% | — | Not comparable |
| SWE-RebenchSource | 65.3% | — | Not comparable |
| React Native EvalsSource | 84.1% | — | Not comparable |
| Vibe Code BenchSource | 57.57% | — | Not comparable |
| AA-SciCodeSource | 45.7% | — | Not comparable |
| FrontierCode 1.1 MainSource | 26.9% | — | Not comparable |
Reasoning2 benchmarks
Knowledge15 benchmarks
| Benchmark | Claude Opus 4.6 | o4-mini (high) | Result |
|---|---|---|---|
| GPQASource | 91.3% | — | Not comparable |
| GPQA-DSource | 89.2% | — | Not comparable |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 82% | — | Not comparable |
| MMLU-Pro (Arcee)Source | 89.1% | — | Not comparable |
| HLESource | 53% | — | Not comparable |
| HLE w/o toolsSource | 40% | — | Not comparable |
| HealthBench HardSource | 14.8% | — | Not comparable |
| MedXpertQA (Text)Source | 52.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 37.8% | — | Not comparable |
| AA-GPQA DiamondSource | 84.0% | — | Not comparable |
| AA-HLESource | 18.6% | — | Not comparable |
| AA-Omniscience IndexSource | 3.5% | — | Not comparable |
| AA-Omniscience AccuracySource | 45.2% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 76.0% | — | Not comparable |
MathClaude Opus 4.6 wins3 benchmarks
Multimodal6 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.6 | o4-mini (high) | Result |
|---|---|---|---|
| AA-IFBenchSource | 44.6% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, Claude Opus 4.6 or o4-mini (high)?
Claude Opus 4.6 is ahead on BenchLM's BenchAlign leaderboard, 68.59 to 49.98. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 22.900% and 6.250%.
Which is better for math, Claude Opus 4.6 or o4-mini (high)?
Claude Opus 4.6 has the edge for math in this comparison, averaging 36.3 versus 20.2. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.
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