Model comparison
Claude Opus 4.6 vs Gemini 3.1 Pro
Head-to-head evidence from 30 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.6 #16 (Supported); Gemini 3.1 Pro #83 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.6 and Gemini 3.1 Pro share 30 comparable benchmark results. 2 of 8 categories are comparable. 16 results are unique to Claude Opus 4.6; 17 to Gemini 3.1 Pro.
Updated July 20, 2026- Shared results
- 30
- Claude Opus 4.6 only
- 16
- Gemini 3.1 Pro only
- 17
- Comparable categories
- 2 / 8
Pick Claude Opus 4.6 if you want the stronger benchmark profile. Gemini 3.1 Pro only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 30 shared benchmark results across 7 evidence categories; 2 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 55.3. 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 31.8. The single biggest benchmark swing on the page is MMMU-Pro, 77.3% to 83.9%. Gemini 3.1 Pro does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Claude Opus 4.6 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $2.00 input / $12.00 output per 1M tokens for Gemini 3.1 Pro. That is roughly 2.1x on output cost alone.
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 | Gemini 3.1 Pro |
|---|---|---|---|
| Multimodal | Claude Opus 4.677.3 | Margin→ 5.3 | Gemini 3.1 Pro82.6 |
| Math | Claude Opus 4.636.3 | Margin← 4.5 | Gemini 3.1 Pro31.8 |
| Agentic | Claude Opus 4.673.0 | MarginNo overlap | Gemini 3.1 ProNot measured |
| Coding | Claude Opus 4.668.1 | MarginNo overlap | Gemini 3.1 ProNot measured |
| Reasoning | Claude Opus 4.6Not measured | MarginNo overlap | Gemini 3.1 Pro77.1 |
| Knowledge | Claude Opus 4.669.1 | MarginNo overlap | Gemini 3.1 ProNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
MMMU-Pro
MultimodalA 77.3%B 83.9%Winner: Gemini 3.1 ProΔ 6.6MMMU-Pro: Claude Opus 4.6 scored 77.3%; Gemini 3.1 Pro scored 83.9%. Gemini 3.1 Pro wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 22.900%B 16.700%Winner: Claude Opus 4.6Δ 6.2FrontierMath v2 (Tier 4): Claude Opus 4.6 scored 22.900%; Gemini 3.1 Pro scored 16.700%. Claude Opus 4.6 wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 40.700%B 36.900%Winner: Claude Opus 4.6Δ 3.8FrontierMath v2 (Tiers 1-3): Claude Opus 4.6 scored 40.700%; Gemini 3.1 Pro scored 36.900%. 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 | Gemini 3.1 Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.6$5 input / $25 output | Gemini 3.1 Pro$2 input / $12 output | Gemini 3.1 Pro has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.640 tok/s | Gemini 3.1 Pro109 tok/s | Gemini 3.1 Pro has the higher measured throughput. |
| First-answer latencyseconds to first token | Claude Opus 4.61.78 s | Gemini 3.1 Pro29.71 s | Claude Opus 4.6 reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude Opus 4.61M | Gemini 3.1 Pro1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic21 benchmarks
| Benchmark | Claude Opus 4.6 | Gemini 3.1 Pro | 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% | 95.6% | Gemini 3.1 Pro leads |
| Claw-EvalSource | 70.4% | 57.8% | Claude Opus 4.6 leads |
| DeepSearchQASource | 73.7% | 69.7% | Claude Opus 4.6 leads |
| CyberGymSource | 66.6% | — | Not comparable |
| Gert LabsSource | 61.85% | 56.87% | Claude Opus 4.6 leads |
| ResearchClawBenchSource | 19.9% | 13.3% | Claude Opus 4.6 leads |
| JobBenchSource | 36.7% | — | Not comparable |
| AA Agentic IndexSource | — | 21.4% | Not comparable |
| APEX-Agents-AASource | — | 32.0% | Not comparable |
| GDPval-AASource | — | 23.2% | Not comparable |
| GDPval-AASource | — | 965 | Not comparable |
| AA AutomationBenchSource | — | 37.5% | Not comparable |
| AA EnterpriseOps-GymSource | — | 42.2% | Not comparable |
| AA Harvey LABSource | — | 0.0% | Not comparable |
| AA ITBenchSource | — | 30.3% | Not comparable |
| AA Tau3 BankingSource | — | 16.5% | Not comparable |
| terminalBenchHardSource | — | 53.8% | Not comparable |
| aaTerminalBench21Source | — | 73.8% | Not comparable |
Coding10 benchmarks
| Benchmark | Claude Opus 4.6 | Gemini 3.1 Pro | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.8% | — | Not comparable |
| SWE-bench Verified*Source | 75.6% | — | Not comparable |
| LiveCodeBench ProSource | 70.7% | 82.9% | Gemini 3.1 Pro leads |
| SWE-bench ProSource | 53.4% | — | Not comparable |
| SWE-RebenchSource | 65.3% | — | Not comparable |
| React Native EvalsSource | 84.1% | 78.9% | Claude Opus 4.6 leads |
| Vibe Code BenchSource | 57.57% | 32.03% | Claude Opus 4.6 leads |
| AA-SciCodeSource | 45.7% | 58.9% | Gemini 3.1 Pro leads |
| FrontierCode 1.1 MainSource | 26.9% | — | Not comparable |
| AA Coding IndexSource | — | 68.8% | Not comparable |
Reasoning3 benchmarks
Knowledge15 benchmarks
| Benchmark | Claude Opus 4.6 | Gemini 3.1 Pro | Result |
|---|---|---|---|
| GPQASource | 91.3% | — | Not comparable |
| GPQA-DSource | 89.2% | 94.3% | Gemini 3.1 Pro leads |
| 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% | 45.4% | Gemini 3.1 Pro leads |
| HealthBench HardSource | 14.8% | 20.6% | Gemini 3.1 Pro leads |
| MedXpertQA (Text)Source | 52.1% | 71.5% | Gemini 3.1 Pro leads |
| Artificial Analysis Intelligence IndexSource | 37.8% | 46.5% | Gemini 3.1 Pro leads |
| AA-GPQA DiamondSource | 84.0% | 94.1% | Gemini 3.1 Pro leads |
| AA-HLESource | 18.6% | 44.7% | Gemini 3.1 Pro leads |
| AA-Omniscience IndexSource | 3.5% | 32.9% | Gemini 3.1 Pro leads |
| AA-Omniscience AccuracySource | 45.2% | 55.3% | Gemini 3.1 Pro leads |
| AA-Omniscience Hallucination RateSource | 76.0% | 49.9% | Gemini 3.1 Pro leads |
MathClaude Opus 4.6 wins3 benchmarks
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.6 | Gemini 3.1 Pro | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | — | 93.2% | Not comparable |
MultimodalGemini 3.1 Pro wins9 benchmarks
| Benchmark | Claude Opus 4.6 | Gemini 3.1 Pro | Result |
|---|---|---|---|
| MMMU-ProSource | 77.3% | 83.9% | Gemini 3.1 Pro leads |
| ERQASource | 51.6% | 69.4% | Gemini 3.1 Pro leads |
| ScreenSpot ProSource | 83.1% | 84.4% | Gemini 3.1 Pro leads |
| MedXpertQA (MM)Source | 64.8% | 81.3% | Gemini 3.1 Pro leads |
| AA-MMMU-ProSource | 72.5% | 82.4% | Gemini 3.1 Pro leads |
| Design Arena WebsiteSource | 1328 | 1284 | Claude Opus 4.6 leads |
| CharXivSource | — | 80.2% | Not comparable |
| SimpleVQASource | — | 72.4% | Not comparable |
| ZeroBenchSource | — | 29.0% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.6 | Gemini 3.1 Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 44.6% | 77.1% | Gemini 3.1 Pro leads |
Frequently Asked Questions (3)
Which is better, Claude Opus 4.6 or Gemini 3.1 Pro?
Claude Opus 4.6 is ahead on BenchLM's BenchAlign leaderboard, 68.59 to 55.3. The biggest single separator in this matchup is MMMU-Pro, where the scores are 77.3% and 83.9%.
Which is better for math, Claude Opus 4.6 or Gemini 3.1 Pro?
Claude Opus 4.6 has the edge for math in this comparison, averaging 36.3 versus 31.8. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Claude Opus 4.6 or Gemini 3.1 Pro?
Gemini 3.1 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 82.6 versus 77.3. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.
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