Model comparison
Claude Sonnet 4.6 vs Gemini 3 Pro Deep Think
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 4.6 #32 (Supported); Gemini 3 Pro Deep Think #41 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 4.6 and Gemini 3 Pro Deep Think share 1 comparable benchmark result. 0 of 8 categories are comparable. 32 results are unique to Claude Sonnet 4.6; 1 to Gemini 3 Pro Deep Think.
Updated July 20, 2026- Shared results
- 1
- Claude Sonnet 4.6 only
- 32
- Gemini 3 Pro Deep Think only
- 1
- Comparable categories
- 0 / 8
Benchmark data for Claude Sonnet 4.6 and Gemini 3 Pro Deep Think is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Gemini 3 Pro Deep Think has the larger context window at 2M, compared with 200K for Claude Sonnet 4.6.
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 4.6 | Δ | Gemini 3 Pro Deep Think |
|---|---|---|---|
| Agentic | Claude Sonnet 4.665.2 | MarginNo overlap | Gemini 3 Pro Deep ThinkNot measured |
| Coding | Claude Sonnet 4.669.1 | MarginNo overlap | Gemini 3 Pro Deep ThinkNot measured |
| Reasoning | Claude Sonnet 4.6Not measured | MarginNo overlap | Gemini 3 Pro Deep Think45.1 |
| Knowledge | Claude Sonnet 4.666.0 | MarginNo overlap | Gemini 3 Pro Deep ThinkNot measured |
| Math | Claude Sonnet 4.626.4 | MarginNo overlap | Gemini 3 Pro Deep ThinkNot measured |
| Multimodal | Claude Sonnet 4.677.4 | MarginNo overlap | Gemini 3 Pro Deep ThinkNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 4.6 | Gemini 3 Pro Deep Think | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 4.6$3 input / $15 output | Gemini 3 Pro Deep ThinkNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Sonnet 4.644 tok/s | Gemini 3 Pro Deep ThinkNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 4.61.48 s | Gemini 3 Pro Deep ThinkNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 4.6200K | Gemini 3 Pro Deep Think2M | Gemini 3 Pro Deep Think lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Claude Sonnet 4.6 | Gemini 3 Pro Deep Think | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| OSWorld-VerifiedSource | 72.1% | — | Not comparable |
| Claw-EvalSource | 67.8% | — | Not comparable |
| CyberGymSource | 65.2% | — | Not comparable |
| τ²-bench resultsSource | 79.5% | — | Not comparable |
| Gert LabsSource | 62.92% | — | Not comparable |
| OSWorld 2.0Source | 8.3% | — | Not comparable |
| JobBenchSource | 36.9% | — | Not comparable |
Coding7 benchmarks
| Benchmark | Claude Sonnet 4.6 | Gemini 3 Pro Deep Think | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 79.6% | — | Not comparable |
| SWE-RebenchSource | 60.7% | — | Not comparable |
| React Native EvalsSource | 80.6% | — | Not comparable |
| Vibe Code BenchSource | 51.48% | — | Not comparable |
| cursorBench31Source | 48.8% | — | Not comparable |
| AA-SciCodeSource | 46.9% | — | Not comparable |
| FrontierCode 1.1 MainSource | 24.3% | — | Not comparable |
Reasoning3 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Sonnet 4.6 | Gemini 3 Pro Deep Think | Result |
|---|---|---|---|
| GPQASource | 89.9% | — | Not comparable |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 79.2% | — | Not comparable |
| HLESource | 49% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 35.9% | — | Not comparable |
| AA-GPQA DiamondSource | 79.9% | — | Not comparable |
| AA-HLESource | 13.2% | — | Not comparable |
| AA-Omniscience IndexSource | -2.9% | — | Not comparable |
| AA-Omniscience AccuracySource | 38.0% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 65.9% | — | Not comparable |
Math2 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 4.6 | Gemini 3 Pro Deep Think | Result |
|---|---|---|---|
| AA-IFBenchSource | 41.2% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude Sonnet 4.6 and Gemini 3 Pro Deep Think on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Claude Sonnet 4.6 and Gemini 3 Pro Deep Think today?
Claude Sonnet 4.6: $3.00 input / $15.00 output per 1M tokens Gemini 3 Pro Deep Think: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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