Model comparison
DeepSeek V3.2 vs Gemini 3.1 Pro
Head-to-head evidence from 17 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V3.2 #82 (Supported); Gemini 3.1 Pro #83 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3.2 and Gemini 3.1 Pro share 17 comparable benchmark results. 1 of 8 categories are comparable. 2 results are unique to DeepSeek V3.2; 30 to Gemini 3.1 Pro.
Updated July 20, 2026- Shared results
- 17
- DeepSeek V3.2 only
- 2
- Gemini 3.1 Pro only
- 30
- Comparable categories
- 1 / 8
Pick DeepSeek V3.2 if you want the stronger benchmark profile. Gemini 3.1 Pro only becomes the better choice if mathematics is the priority or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 17 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
DeepSeek V3.2 has the cleaner BenchAlign overall profile here, landing at 55.4 versus 55.3. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Gemini 3.1 Pro is also the more expensive model on tokens at $2.00 input / $12.00 output per 1M tokens, versus $0.28 input / $0.42 output per 1M tokens for DeepSeek V3.2. That is roughly 28.6x on output cost alone. Gemini 3.1 Pro gives you the larger context window at 1M, compared with 128K for DeepSeek V3.2.
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 | DeepSeek V3.2 | Δ | Gemini 3.1 Pro |
|---|---|---|---|
| Math | DeepSeek V3.217.1 | Margin→ 14.7 | Gemini 3.1 Pro31.8 |
| Coding | DeepSeek V3.260.9 | MarginNo overlap | Gemini 3.1 ProNot measured |
| Reasoning | DeepSeek V3.2Not measured | MarginNo overlap | Gemini 3.1 Pro77.1 |
| Multimodal | DeepSeek V3.2Not 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 ↗
FrontierMath v2 (Tiers 1-3)
MathA 22.100%B 36.900%Winner: Gemini 3.1 ProΔ 14.8FrontierMath v2 (Tiers 1-3): DeepSeek V3.2 scored 22.100%; Gemini 3.1 Pro scored 36.900%. Gemini 3.1 Pro wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 2.100%B 16.700%Winner: Gemini 3.1 ProΔ 14.6FrontierMath v2 (Tier 4): DeepSeek V3.2 scored 2.100%; 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 | DeepSeek V3.2 | Gemini 3.1 Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3.2$0.28 input / $0.42 output | Gemini 3.1 Pro$2 input / $12 output | DeepSeek V3.2 has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V3.235 tok/s | Gemini 3.1 Pro109 tok/s | Gemini 3.1 Pro has the higher measured throughput. |
| First-answer latencyseconds to first token | DeepSeek V3.23.75 s | Gemini 3.1 Pro29.71 s | DeepSeek V3.2 reaches the first token sooner. |
| Context windowmaximum listed tokens | DeepSeek V3.2128K | Gemini 3.1 Pro1M | Gemini 3.1 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic17 benchmarks
| Benchmark | DeepSeek V3.2 | Gemini 3.1 Pro | Result |
|---|---|---|---|
| Claw-EvalSource | 40.2% | 57.8% | Gemini 3.1 Pro leads |
| VITA-BenchSource | 18.5% | — | Not comparable |
| τ²-bench resultsSource | 78.9% | 95.6% | Gemini 3.1 Pro leads |
| Gert LabsSource | 29.57% | 56.87% | Gemini 3.1 Pro leads |
| DeepSearchQASource | — | 69.7% | 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 |
| 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 | DeepSeek V3.2 | Gemini 3.1 Pro | Result |
|---|---|---|---|
| SWE-RebenchSource | 60.9% | — | Not comparable |
| React Native EvalsSource | 71.5% | 78.9% | Gemini 3.1 Pro leads |
| AA-SciCodeSource | 38.7% | 58.9% | Gemini 3.1 Pro leads |
| LiveCodeBench ProSource | — | 82.9% | Not comparable |
| Vibe Code BenchSource | — | 32.03% | Not comparable |
| AA Coding IndexSource | — | 68.8% | Not comparable |
Reasoning3 benchmarks
Knowledge10 benchmarks
| Benchmark | DeepSeek V3.2 | Gemini 3.1 Pro | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 24.7% | 46.5% | Gemini 3.1 Pro leads |
| AA-GPQA DiamondSource | 75.1% | 94.1% | Gemini 3.1 Pro leads |
| AA-HLESource | 10.5% | 44.7% | Gemini 3.1 Pro leads |
| AA-Omniscience IndexSource | -46.7% | 32.9% | Gemini 3.1 Pro leads |
| AA-Omniscience AccuracySource | 24.2% | 55.3% | Gemini 3.1 Pro leads |
| AA-Omniscience Hallucination RateSource | 93.5% | 49.9% | Gemini 3.1 Pro leads |
| 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 |
MathGemini 3.1 Pro wins2 benchmarks
Multilingual1 benchmarks
| Benchmark | DeepSeek V3.2 | Gemini 3.1 Pro | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | — | 93.2% | Not comparable |
Multimodal9 benchmarks
| Benchmark | DeepSeek V3.2 | Gemini 3.1 Pro | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1206 | 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 | DeepSeek V3.2 | Gemini 3.1 Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 49.0% | 77.1% | Gemini 3.1 Pro leads |
Frequently Asked Questions (2)
Which is better, DeepSeek V3.2 or Gemini 3.1 Pro?
DeepSeek V3.2 is ahead on BenchLM's BenchAlign leaderboard, 55.4 to 55.3. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 22.100% and 36.900%.
Which is better for math, DeepSeek V3.2 or Gemini 3.1 Pro?
Gemini 3.1 Pro has the edge for math in this comparison, averaging 31.8 versus 17.1. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
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