Model comparison
Claude Opus 4.7 vs Claude Opus 4.8
Head-to-head evidence from 19 shared benchmark results across 7 categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verified leaderboard positions: Claude Opus 4.7 unranked; Claude Opus 4.8 #3
Evidence parity. Claude Opus 4.7 and Claude Opus 4.8 share 19 comparable benchmark results. 1 of 8 categories are comparable. 3 results are unique to Claude Opus 4.7; 34 to Claude Opus 4.8.
Updated July 12, 2026- Shared results
- 19
- Claude Opus 4.7 only
- 3
- Claude Opus 4.8 only
- 34
- Comparable categories
- 1 / 8
Pick Claude Opus 4.8 if you want the stronger benchmark profile. Claude Opus 4.7 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 19 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 4.8 is clearly ahead on the provisional aggregate, 85 to 69. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.8's sharpest advantage is in mathematics, where it averages 53.9 against 38.6. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 22.917% to 31.250%.
Claude Opus 4.8 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.
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 | Claude Opus 4.8 |
|---|---|---|---|
| Math | Claude Opus 4.738.6 | Margin→ 15.3 | Claude Opus 4.853.9 |
| Agentic | Claude Opus 4.7Not measured | MarginNo overlap | Claude Opus 4.880.3 |
| Coding | Claude Opus 4.7Not measured | MarginNo overlap | Claude Opus 4.876.4 |
| Knowledge | Claude Opus 4.7Not measured | MarginNo overlap | Claude Opus 4.862.7 |
| Multimodal | Claude Opus 4.7Not measured | MarginNo overlap | Claude Opus 4.877.0 |
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 31.250%Winner: Claude Opus 4.8Δ 8.3FrontierMath v2 (Tier 4): Claude Opus 4.7 scored 22.917%; Claude Opus 4.8 scored 31.250%. Claude Opus 4.8 wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 43.793%B 47.241%Winner: Claude Opus 4.8Δ 3.4FrontierMath v2 (Tiers 1-3): Claude Opus 4.7 scored 43.793%; Claude Opus 4.8 scored 47.241%. Claude Opus 4.8 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 | Claude Opus 4.8 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.7$5 input / $25 output | Claude Opus 4.8$5 input / $25 output | Listed prices are equal. |
| Generation speedtokens per second | Claude Opus 4.7Not available | Claude Opus 4.8Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.7Not available | Claude Opus 4.8Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.71M | Claude Opus 4.81M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic19 benchmarks
| Benchmark | Claude Opus 4.7 | Claude Opus 4.8 | Result |
|---|---|---|---|
| Tau2-TelecomSource | 74% | 94.4% | Claude Opus 4.8 leads |
| Gert LabsSource | 65.59% | 72.97% | Claude Opus 4.8 leads |
| ResearchClawBenchSource | 20.7% | 21.1% | Claude Opus 4.8 leads |
| OSWorld 2.0Source | 13.9% | 20.6% | Claude Opus 4.8 leads |
| Terminal-Bench 2.0Source | — | 74.6% | Not comparable |
| BrowseCompSource | — | 84.3% | Not comparable |
| DeepSearchQASource | — | 93.1% | Not comparable |
| OSWorld-VerifiedSource | — | 83.4% | Not comparable |
| Finance Agent v2Source | — | 53.9% | Not comparable |
| GDPval-AASource | — | 1600 | Not comparable |
| MCP AtlasSource | — | 82.2% | Not comparable |
| ToolathlonSource | — | 59.9% | Not comparable |
| AA Agentic IndexSource | — | 47.2% | Not comparable |
| GDPval-AASource | — | 55.0% | Not comparable |
| AA BriefcaseSource | — | 1354 | Not comparable |
| AA AutomationBenchSource | — | 48.5% | Not comparable |
| AA EnterpriseOps-GymSource | — | 44.0% | Not comparable |
| AA Harvey LABSource | — | 7.5% | Not comparable |
| AA Tau3 BankingSource | — | 27.6% | Not comparable |
Coding14 benchmarks
| Benchmark | Claude Opus 4.7 | Claude Opus 4.8 | Result |
|---|---|---|---|
| Vibe Code BenchSource | 71.00% | — | Not comparable |
| React Native EvalsSource | 82.8% | — | Not comparable |
| Terminal-Bench HardSource | 54.5% | 58.3% | Claude Opus 4.8 leads |
| AA-SciCodeSource | 50.1% | 53.5% | Claude Opus 4.8 leads |
| FrontierCodeSource | 38.5% | 46.5% | Claude Opus 4.8 leads |
| SWE-bench VerifiedSource | — | 88.6% | Not comparable |
| SWE-bench ProSource | — | 69.2% | Not comparable |
| SWE MultilingualSource | — | 84.4% | Not comparable |
| SWE MultimodalSource | — | 38.4% | Not comparable |
| Terminal-Bench 2.0Source | — | 74.6% | Not comparable |
| cursorBench31Source | — | 58.4% | Not comparable |
| cursorBench32Source | — | 62.3% | Not comparable |
| AA Coding IndexSource | — | 74.3% | Not comparable |
| AA Terminal-Bench 2.1Source | — | 84.6% | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Opus 4.7 | Claude Opus 4.8 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 42.7% | 55.7% | Claude Opus 4.8 leads |
| AA-GPQA DiamondSource | 88.5% | 92.0% | Claude Opus 4.8 leads |
| AA-HLESource | 31.2% | 45.7% | Claude Opus 4.8 leads |
| AA-Omniscience IndexSource | 14.2% | 27.4% | Claude Opus 4.8 leads |
| AA-Omniscience AccuracySource | 43.5% | 46.6% | Claude Opus 4.8 leads |
| AA-Omniscience Hallucination RateSource | 51.9% | 35.9% | Claude Opus 4.8 leads |
| GPQASource | — | 93.6% | Not comparable |
| GPQA-DSource | — | 93.6% | Not comparable |
| HLESource | — | 57.9% | Not comparable |
| HLE w/o toolsSource | — | 49.8% | Not comparable |
MathClaude Opus 4.8 wins3 benchmarks
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.7 | Claude Opus 4.8 | Result |
|---|---|---|---|
| INCLUDESource | — | 87.6% | Not comparable |
Multimodal6 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.7 | Claude Opus 4.8 | Result |
|---|---|---|---|
| AA-IFBenchSource | 43.6% | 62.2% | Claude Opus 4.8 leads |
Frequently Asked Questions (2)
Which is better, Claude Opus 4.7 or Claude Opus 4.8?
Claude Opus 4.8 is ahead on BenchLM's provisional leaderboard, 85 to 69. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 22.917% and 31.250%.
Which is better for math, Claude Opus 4.7 or Claude Opus 4.8?
Claude Opus 4.8 has the edge for math in this comparison, averaging 53.9 versus 38.6. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.
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