Model comparison
Claude Opus 4.6 vs Gemini 3.6 Flash
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.6 #16 (Supported); Gemini 3.6 Flash unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.6 and Gemini 3.6 Flash share 11 comparable benchmark results. 1 of 8 categories are comparable. 35 results are unique to Claude Opus 4.6; 8 to Gemini 3.6 Flash.
Updated July 21, 2026- Shared results
- 11
- Claude Opus 4.6 only
- 35
- Gemini 3.6 Flash only
- 8
- Comparable categories
- 1 / 8
Treat this as a split decision. Claude Opus 4.6 makes more sense if you would rather avoid the extra latency and token burn of a reasoning model; Gemini 3.6 Flash is the better fit if agentic is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 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 4.6 and Gemini 3.6 Flash finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
Claude Opus 4.6 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $1.50 input / $7.50 output per 1M tokens for Gemini 3.6 Flash. That is roughly 3.3x on output cost alone. Gemini 3.6 Flash 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.
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 3.6 Flash |
|---|---|---|---|
| Agentic | Claude Opus 4.673.0 | Margin→ 10.0 | Gemini 3.6 Flash83.0 |
| Coding | Claude Opus 4.668.1 | MarginNo overlap | Gemini 3.6 FlashNot measured |
| Knowledge | Claude Opus 4.669.1 | MarginNo overlap | Gemini 3.6 FlashNot measured |
| Math | Claude Opus 4.636.3 | MarginNo overlap | Gemini 3.6 FlashNot measured |
| Multimodal | Claude Opus 4.677.3 | MarginNo overlap | Gemini 3.6 FlashNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
OSWorld-Verified
AgenticA 72.7%B 83%Winner: Gemini 3.6 FlashΔ 10.3OSWorld-Verified: Claude Opus 4.6 scored 72.7%; Gemini 3.6 Flash scored 83%. Gemini 3.6 Flash 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 3.6 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.6$5 input / $25 output | Gemini 3.6 Flash$1.5 input / $7.5 output | Gemini 3.6 Flash has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.640 tok/s | Gemini 3.6 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.61.78 s | Gemini 3.6 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.61M | Gemini 3.6 Flash1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticGemini 3.6 Flash wins16 benchmarks
| Benchmark | Claude Opus 4.6 | Gemini 3.6 Flash | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 65.4% | — | Not comparable |
| BrowseCompSource | 83.7% | — | Not comparable |
| OSWorld-VerifiedSource | 72.7% | 83% | Gemini 3.6 Flash leads |
| 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 |
| GDPval-AASource | — | 1421 | Not comparable |
| AA Agentic IndexSource | — | 38.7% | Not comparable |
| GDPval-AASource | — | 46.1% | Not comparable |
| AA BriefcaseSource | — | 961 | Not comparable |
| AA Tau3 BankingSource | — | 24.5% | Not comparable |
| aaTerminalBench21Source | — | 77.5% | Not comparable |
Coding11 benchmarks
| Benchmark | Claude Opus 4.6 | Gemini 3.6 Flash | 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% | 52.7% | Gemini 3.6 Flash leads |
| FrontierCode 1.1 MainSource | 26.9% | — | Not comparable |
| deepSweSource | — | 49% | Not comparable |
| AA Coding IndexSource | — | 69.2% | Not comparable |
Reasoning2 benchmarks
Knowledge15 benchmarks
| Benchmark | Claude Opus 4.6 | Gemini 3.6 Flash | 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% | 50.1% | Gemini 3.6 Flash leads |
| AA-GPQA DiamondSource | 84.0% | 92.8% | Gemini 3.6 Flash leads |
| AA-HLESource | 18.6% | 38.3% | Gemini 3.6 Flash leads |
| AA-Omniscience IndexSource | 3.5% | 23.5% | Gemini 3.6 Flash leads |
| AA-Omniscience AccuracySource | 45.2% | 50.2% | Gemini 3.6 Flash leads |
| AA-Omniscience Hallucination RateSource | 76.0% | 53.5% | Gemini 3.6 Flash leads |
Math3 benchmarks
Multimodal6 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.6 | Gemini 3.6 Flash | Result |
|---|---|---|---|
| AA-IFBenchSource | 44.6% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, Claude Opus 4.6 or Gemini 3.6 Flash?
Claude Opus 4.6 and Gemini 3.6 Flash are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for agentic tasks, Claude Opus 4.6 or Gemini 3.6 Flash?
Gemini 3.6 Flash has the edge for agentic tasks in this comparison, averaging 83 versus 73. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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