Model comparison
DeepSeek V3.2 vs Gemini 3 Pro
Head-to-head evidence from 14 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V3.2 #82 (Supported); Gemini 3 Pro #19 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3.2 and Gemini 3 Pro share 14 comparable benchmark results. 1 of 8 categories are comparable. 5 results are unique to DeepSeek V3.2; 13 to Gemini 3 Pro.
Updated July 20, 2026- Shared results
- 14
- DeepSeek V3.2 only
- 5
- Gemini 3 Pro only
- 13
- Comparable categories
- 1 / 8
Pick Gemini 3 Pro if you want the stronger benchmark profile. DeepSeek V3.2 only becomes the better choice if you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 6 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
Gemini 3 Pro is clearly ahead on the BenchAlign aggregate, 67.73 to 55.4. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro's sharpest advantage is in mathematics, where it averages 32.9 against 17.1. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 2.100% to 18.750%.
Gemini 3 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 Pro gives you the larger context window at 2M, 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 Pro |
|---|---|---|---|
| Math | DeepSeek V3.217.1 | Margin→ 15.8 | Gemini 3 Pro32.9 |
| Coding | DeepSeek V3.260.9 | MarginNo overlap | Gemini 3 ProNot measured |
| Reasoning | DeepSeek V3.2Not measured | MarginNo overlap | Gemini 3 Pro31.1 |
| Multimodal | DeepSeek V3.2Not measured | MarginNo overlap | Gemini 3 Pro81.1 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tier 4)
MathA 2.100%B 18.750%Winner: Gemini 3 ProΔ 16.7FrontierMath v2 (Tier 4): DeepSeek V3.2 scored 2.100%; Gemini 3 Pro scored 18.750%. Gemini 3 Pro wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 22.100%B 37.600%Winner: Gemini 3 ProΔ 15.5FrontierMath v2 (Tiers 1-3): DeepSeek V3.2 scored 22.100%; Gemini 3 Pro scored 37.600%. Gemini 3 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 Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3.2$0.28 input / $0.42 output | Gemini 3 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 Pro109 tok/s | Gemini 3 Pro has the higher measured throughput. |
| First-answer latencyseconds to first token | DeepSeek V3.23.75 s | Gemini 3 Pro32.65 s | DeepSeek V3.2 reaches the first token sooner. |
| Context windowmaximum listed tokens | DeepSeek V3.2128K | Gemini 3 Pro2M | Gemini 3 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding5 benchmarks
Reasoning3 benchmarks
Knowledge7 benchmarks
| Benchmark | DeepSeek V3.2 | Gemini 3 Pro | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 24.7% | 39.5% | Gemini 3 Pro leads |
| AA-GPQA DiamondSource | 75.1% | 90.8% | Gemini 3 Pro leads |
| AA-HLESource | 10.5% | 37.2% | Gemini 3 Pro leads |
| AA-Omniscience IndexSource | -46.7% | 15.8% | Gemini 3 Pro leads |
| AA-Omniscience AccuracySource | 24.2% | 55.9% | Gemini 3 Pro leads |
| AA-Omniscience Hallucination RateSource | 93.5% | 90.9% | Gemini 3 Pro leads |
| AA MMLU-ProSource | — | 89.8% | Not comparable |
MathGemini 3 Pro wins2 benchmarks
Multilingual1 benchmarks
| Benchmark | DeepSeek V3.2 | Gemini 3 Pro | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | — | 92.2% | Not comparable |
Multimodal8 benchmarks
| Benchmark | DeepSeek V3.2 | Gemini 3 Pro | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1206 | — | Not comparable |
| MMMU-ProSource | — | 81% | Not comparable |
| MathVisionSource | — | 86.6% | Not comparable |
| VideoMMMUSource | — | 87.6% | Not comparable |
| ScreenSpot ProSource | — | 72.7% | Not comparable |
| CharXivSource | — | 81.4% | Not comparable |
| V*Source | — | 88.0% | Not comparable |
| AA-MMMU-ProSource | — | 80.2% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V3.2 | Gemini 3 Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 49.0% | 70.4% | Gemini 3 Pro leads |
Frequently Asked Questions (2)
Which is better, DeepSeek V3.2 or Gemini 3 Pro?
Gemini 3 Pro is ahead on BenchLM's BenchAlign leaderboard, 67.73 to 55.4. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 2.100% and 18.750%.
Which is better for math, DeepSeek V3.2 or Gemini 3 Pro?
Gemini 3 Pro has the edge for math in this comparison, averaging 32.9 versus 17.1. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.
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