Model comparison
Claude Sonnet 4.5 vs Gemini 3.1 Pro
Head-to-head evidence from 5 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 4.5 #96 (Estimated); Gemini 3.1 Pro #83 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 4.5 and Gemini 3.1 Pro share 5 comparable benchmark results. 2 of 8 categories are comparable. 7 results are unique to Claude Sonnet 4.5; 42 to Gemini 3.1 Pro.
Updated July 20, 2026- Shared results
- 5
- Claude Sonnet 4.5 only
- 7
- Gemini 3.1 Pro only
- 42
- Comparable categories
- 2 / 8
Pick Gemini 3.1 Pro if you want the stronger benchmark profile. Claude Sonnet 4.5 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 4 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
Gemini 3.1 Pro has the cleaner BenchAlign overall profile here, landing at 55.3 versus 53.61. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Gemini 3.1 Pro's sharpest advantage is in reasoning, where it averages 77.1 against 13.6. The single biggest benchmark swing on the page is ARC-AGI-2, 13.6% to 77.1%.
Claude Sonnet 4.5 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $2.00 input / $12.00 output per 1M tokens for Gemini 3.1 Pro. Gemini 3.1 Pro gives you the larger context window at 1M, compared with 200K for Claude Sonnet 4.5.
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 Sonnet 4.5 | Δ | Gemini 3.1 Pro |
|---|---|---|---|
| Reasoning | Claude Sonnet 4.513.6 | Margin→ 63.5 | Gemini 3.1 Pro77.1 |
| Math | Claude Sonnet 4.511.2 | Margin→ 20.6 | Gemini 3.1 Pro31.8 |
| Agentic | Claude Sonnet 4.555.4 | MarginNo overlap | Gemini 3.1 ProNot measured |
| Coding | Claude Sonnet 4.577.2 | MarginNo overlap | Gemini 3.1 ProNot measured |
| Knowledge | Claude Sonnet 4.583.4 | MarginNo overlap | Gemini 3.1 ProNot measured |
| Multimodal | Claude Sonnet 4.5Not measured | MarginNo overlap | Gemini 3.1 Pro82.6 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
ARC-AGI-2
ReasoningA 13.6%B 77.1%Winner: Gemini 3.1 ProΔ 63.5ARC-AGI-2: Claude Sonnet 4.5 scored 13.6%; Gemini 3.1 Pro scored 77.1%. Gemini 3.1 Pro wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 13.495%B 36.900%Winner: Gemini 3.1 ProΔ 23.4FrontierMath v2 (Tiers 1-3): Claude Sonnet 4.5 scored 13.495%; Gemini 3.1 Pro scored 36.900%. Gemini 3.1 Pro wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 4.167%B 16.700%Winner: Gemini 3.1 ProΔ 12.5FrontierMath v2 (Tier 4): Claude Sonnet 4.5 scored 4.167%; Gemini 3.1 Pro scored 16.700%. Gemini 3.1 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 4.5 | Gemini 3.1 Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 4.5$3 input / $15 output | Gemini 3.1 Pro$2 input / $12 output | Gemini 3.1 Pro has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 4.5Not available | Gemini 3.1 Pro109 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 4.5Not available | Gemini 3.1 Pro29.71 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 4.5200K | Gemini 3.1 Pro1M | Gemini 3.1 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic20 benchmarks
| Benchmark | Claude Sonnet 4.5 | Gemini 3.1 Pro | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 50% | — | Not comparable |
| OSWorld-VerifiedSource | 61.4% | — | Not comparable |
| VITA-BenchSource | 17.0% | — | Not comparable |
| Gert LabsSource | 48.51% | 56.87% | Gemini 3.1 Pro leads |
| JobBenchSource | 27.7% | — | Not comparable |
| Claw-EvalSource | — | 57.8% | Not comparable |
| DeepSearchQASource | — | 69.7% | Not comparable |
| τ²-bench resultsSource | — | 95.6% | 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 |
| ResearchClawBenchSource | — | 13.3% | 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 |
Coding6 benchmarks
| Benchmark | Claude Sonnet 4.5 | Gemini 3.1 Pro | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 77.2% | — | Not comparable |
| LiveCodeBench ProSource | — | 82.9% | Not comparable |
| React Native EvalsSource | — | 78.9% | Not comparable |
| Vibe Code BenchSource | — | 32.03% | Not comparable |
| AA Coding IndexSource | — | 68.8% | Not comparable |
| AA-SciCodeSource | — | 58.9% | Not comparable |
ReasoningGemini 3.1 Pro wins3 benchmarks
Knowledge11 benchmarks
| Benchmark | Claude Sonnet 4.5 | Gemini 3.1 Pro | Result |
|---|---|---|---|
| GPQASource | 83.4% | — | Not comparable |
| GPQA-DSource | — | 94.3% | Not comparable |
| HLE w/o toolsSource | — | 45.4% | Not comparable |
| HealthBench HardSource | — | 20.6% | Not comparable |
| MedXpertQA (Text)Source | — | 71.5% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 46.5% | Not comparable |
| AA-GPQA DiamondSource | — | 94.1% | Not comparable |
| AA-HLESource | — | 44.7% | Not comparable |
| AA-Omniscience IndexSource | — | 32.9% | Not comparable |
| AA-Omniscience AccuracySource | — | 55.3% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 49.9% | Not comparable |
MathGemini 3.1 Pro wins3 benchmarks
Multilingual1 benchmarks
| Benchmark | Claude Sonnet 4.5 | Gemini 3.1 Pro | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | — | 93.2% | Not comparable |
Multimodal9 benchmarks
| Benchmark | Claude Sonnet 4.5 | Gemini 3.1 Pro | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1222 | 1284 | Gemini 3.1 Pro leads |
| MMMU-ProSource | — | 83.9% | Not comparable |
| CharXivSource | — | 80.2% | Not comparable |
| ERQASource | — | 69.4% | Not comparable |
| SimpleVQASource | — | 72.4% | Not comparable |
| ScreenSpot ProSource | — | 84.4% | Not comparable |
| ZeroBenchSource | — | 29.0% | Not comparable |
| MedXpertQA (MM)Source | — | 81.3% | Not comparable |
| AA-MMMU-ProSource | — | 82.4% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 4.5 | Gemini 3.1 Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 77.1% | Not comparable |
Frequently Asked Questions (3)
Which is better, Claude Sonnet 4.5 or Gemini 3.1 Pro?
Gemini 3.1 Pro is ahead on BenchLM's BenchAlign leaderboard, 55.3 to 53.61. The biggest single separator in this matchup is ARC-AGI-2, where the scores are 13.6% and 77.1%.
Which is better for math, Claude Sonnet 4.5 or Gemini 3.1 Pro?
Gemini 3.1 Pro has the edge for math in this comparison, averaging 31.8 versus 11.2. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
Which is better for reasoning, Claude Sonnet 4.5 or Gemini 3.1 Pro?
Gemini 3.1 Pro has the edge for reasoning in this comparison, averaging 77.1 versus 13.6. Inside this category, ARC-AGI-2 is the benchmark that creates the most daylight between them.
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