Model comparison
Claude Opus 4.7 vs Gemini 3.5 Flash
Head-to-head evidence from 18 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.7 #12 (Supported); Gemini 3.5 Flash #33 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.7 and Gemini 3.5 Flash share 18 comparable benchmark results. 1 of 8 categories are comparable. 3 results are unique to Claude Opus 4.7; 28 to Gemini 3.5 Flash.
Updated July 23, 2026- Shared results
- 18
- Claude Opus 4.7 only
- 3
- Gemini 3.5 Flash only
- 28
- Comparable categories
- 1 / 8
Pick Claude Opus 4.7 if you want the stronger benchmark profile. Gemini 3.5 Flash 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 18 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 BenchAlign aggregate, 71.94 to 64.75. 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 32.9. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 22.917% to 14.583%.
Claude Opus 4.7 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $1.50 input / $9.00 output per 1M tokens for Gemini 3.5 Flash. That is roughly 2.8x on output cost alone. Gemini 3.5 Flash 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 | Gemini 3.5 Flash |
|---|---|---|---|
| Math | Claude Opus 4.738.6 | Margin← 5.7 | Gemini 3.5 Flash32.9 |
| Agentic | Claude Opus 4.7Not measured | MarginNo overlap | Gemini 3.5 Flash77.2 |
| Coding | Claude Opus 4.7Not measured | MarginNo overlap | Gemini 3.5 Flash53.9 |
| Reasoning | Claude Opus 4.7Not measured | MarginNo overlap | Gemini 3.5 Flash74.7 |
| Knowledge | Claude Opus 4.7Not measured | MarginNo overlap | Gemini 3.5 Flash47.2 |
| Multimodal | Claude Opus 4.7Not measured | MarginNo overlap | Gemini 3.5 Flash83.8 |
| Inst. Following | Claude Opus 4.7Not measured | MarginNo overlap | Gemini 3.5 Flash76.3 |
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 14.583%Winner: Claude Opus 4.7Δ 8.3FrontierMath v2 (Tier 4): Claude Opus 4.7 scored 22.917%; Gemini 3.5 Flash scored 14.583%. Claude Opus 4.7 wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 43.793%B 38.966%Winner: Claude Opus 4.7Δ 4.8FrontierMath v2 (Tiers 1-3): Claude Opus 4.7 scored 43.793%; Gemini 3.5 Flash scored 38.966%. 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 | Gemini 3.5 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.7$5 input / $25 output | Gemini 3.5 Flash$1.5 input / $9 output | Gemini 3.5 Flash has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.7Not available | Gemini 3.5 Flash284.2 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.7Not available | Gemini 3.5 Flash18.55 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.71M | Gemini 3.5 Flash1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | Claude Opus 4.7 | Gemini 3.5 Flash | Result |
|---|---|---|---|
| τ²-bench resultsSource | 74% | 95.3% | Gemini 3.5 Flash leads |
| Gert LabsSource | 65.59% | 61.85% | Claude Opus 4.7 leads |
| ResearchClawBenchSource | 20.7% | 18.0% | Claude Opus 4.7 leads |
| OSWorld 2.0Source | 13.9% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 76.2% | Not comparable |
| MCP AtlasSource | — | 83.6% | Not comparable |
| ToolathlonSource | — | 56.5% | Not comparable |
| OSWorld-VerifiedSource | — | 78.4% | Not comparable |
| Finance Agent v2Source | — | 57.9% | Not comparable |
| GDPval-AASource | — | 1349 | Not comparable |
| GDPval-AASource | — | 42.4% | Not comparable |
| AA Agentic IndexSource | — | 37.5% | Not comparable |
| APEX-Agents-AASource | — | 47.1% | Not comparable |
| AA AutomationBenchSource | — | 42.6% | Not comparable |
| AA EnterpriseOps-GymSource | — | 50.1% | Not comparable |
| terminalBenchHardSource | — | 40.9% | Not comparable |
Coding10 benchmarks
| Benchmark | Claude Opus 4.7 | Gemini 3.5 Flash | Result |
|---|---|---|---|
| Vibe Code BenchSource | 71.00% | 48.68% | Claude Opus 4.7 leads |
| React Native EvalsSource | 82.8% | — | Not comparable |
| AA-SciCodeSource | 50.1% | 53.1% | Gemini 3.5 Flash leads |
| FrontierCode 1.1 MainSource | 38.5% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 76.2% | Not comparable |
| SWE-bench ProSource | — | 55.1% | Not comparable |
| SciCodeSource | — | 53.1% | Not comparable |
| cursorBench31Source | — | 49.8% | Not comparable |
| cursorBench32Source | — | 48.8% | Not comparable |
| AA Coding IndexSource | — | 70.1% | Not comparable |
Reasoning5 benchmarks
Knowledge9 benchmarks
| Benchmark | Claude Opus 4.7 | Gemini 3.5 Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 42.7% | 50.2% | Gemini 3.5 Flash leads |
| AA-GPQA DiamondSource | 88.5% | 92.2% | Gemini 3.5 Flash leads |
| AA-HLESource | 31.2% | 41.0% | Gemini 3.5 Flash leads |
| AA-Omniscience IndexSource | 14.2% | 22.7% | Gemini 3.5 Flash leads |
| AA-Omniscience AccuracySource | 43.5% | 51.9% | Gemini 3.5 Flash leads |
| AA-Omniscience Hallucination RateSource | 51.9% | 60.7% | Claude Opus 4.7 leads |
| GPQASource | — | 92.2% | Not comparable |
| GPQA-DSource | — | 92.7% | Not comparable |
| HLESource | — | 40.2% | Not comparable |
MathClaude Opus 4.7 wins2 benchmarks
Multimodal5 benchmarks
Frequently Asked Questions (2)
Which is better, Claude Opus 4.7 or Gemini 3.5 Flash?
Claude Opus 4.7 is ahead on BenchLM's BenchAlign leaderboard, 71.94 to 64.75. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 22.917% and 14.583%.
Which is better for math, Claude Opus 4.7 or Gemini 3.5 Flash?
Claude Opus 4.7 has the edge for math in this comparison, averaging 38.6 versus 32.9. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.
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