Model comparison
DeepSeek V4 Pro (High) vs Gemini 3 Pro
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Pro (High) #81 (Estimated); Gemini 3 Pro #19 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Pro (High) and Gemini 3 Pro share 11 comparable benchmark results. 1 of 8 categories are comparable. 27 results are unique to DeepSeek V4 Pro (High); 16 to Gemini 3 Pro.
Updated July 23, 2026- Shared results
- 11
- DeepSeek V4 Pro (High) only
- 27
- Gemini 3 Pro only
- 16
- Comparable categories
- 1 / 8
Pick Gemini 3 Pro if you want the stronger benchmark profile. DeepSeek V4 Pro (High) only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 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 55.47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro is also the more expensive model on tokens at $2.00 input / $12.00 output per 1M tokens, versus $0.43 input / $0.87 output per 1M tokens for DeepSeek V4 Pro (High). That is roughly 13.8x on output cost alone. DeepSeek V4 Pro (High) is the reasoning model in the pair, while Gemini 3 Pro 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. Gemini 3 Pro gives you the larger context window at 2M, compared with 1M for DeepSeek V4 Pro (High).
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 V4 Pro (High) | Δ | Gemini 3 Pro |
|---|---|---|---|
| Math | DeepSeek V4 Pro (High)94.0 | Margin← 61.1 | Gemini 3 Pro32.9 |
| Agentic | DeepSeek V4 Pro (High)70.6 | MarginNo overlap | Gemini 3 ProNot measured |
| Coding | DeepSeek V4 Pro (High)69.8 | MarginNo overlap | Gemini 3 ProNot measured |
| Reasoning | DeepSeek V4 Pro (High)Not measured | MarginNo overlap | Gemini 3 Pro31.1 |
| Knowledge | DeepSeek V4 Pro (High)57.0 | MarginNo overlap | Gemini 3 ProNot measured |
| Multimodal | DeepSeek V4 Pro (High)Not measured | MarginNo overlap | Gemini 3 Pro81.1 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Pro (High) | Gemini 3 Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro (High)$0.435 input / $0.87 output | Gemini 3 Pro$2 input / $12 output | DeepSeek V4 Pro (High) has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V4 Pro (High)Not available | Gemini 3 Pro109 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Pro (High)Not available | Gemini 3 Pro32.65 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro (High)1M | Gemini 3 Pro2M | Gemini 3 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic11 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | Gemini 3 Pro | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 63.3% | — | Not comparable |
| BrowseCompSource | 80.4% | — | Not comparable |
| HLE w/ toolsSource | 44.7% | — | Not comparable |
| MCP AtlasSource | 74.2% | — | Not comparable |
| ToolathlonSource | 49% | — | Not comparable |
| τ²-bench resultsSource | 94.2% | 87.1% | DeepSeek V4 Pro (High) leads |
| GDPval-AASource | 39.9% | — | Not comparable |
| GDPval-AASource | 1299 | — | Not comparable |
| AA Agentic IndexSource | 34.4% | — | Not comparable |
| Gert LabsSource | — | 63.23% | Not comparable |
| JobBenchSource | — | 11.4% | Not comparable |
Coding9 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | Gemini 3 Pro | Result |
|---|---|---|---|
| CodeforcesSource | 2919.0 | — | Not comparable |
| SWE-bench VerifiedSource | 79.4% | — | Not comparable |
| SWE-bench ProSource | 54.4% | — | Not comparable |
| SWE MultilingualSource | 74.1% | — | Not comparable |
| Terminal-Bench 2.0Source | 63.3% | — | Not comparable |
| AA-SciCodeSource | 46.4% | 56.1% | Gemini 3 Pro leads |
| AA Coding IndexSource | 58.7% | — | Not comparable |
| Vibe Code BenchSource | — | 14.30% | Not comparable |
| AA LiveCodeBenchSource | — | 91.7% | Not comparable |
Reasoning5 benchmarks
Knowledge13 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | Gemini 3 Pro | Result |
|---|---|---|---|
| MMLU-ProSource | 87.1% | — | Not comparable |
| SimpleQASource | 46.2% | — | Not comparable |
| Chinese-SimpleQASource | 77.7% | — | Not comparable |
| GPQASource | 89.1% | — | Not comparable |
| GPQA-DSource | 89.1% | — | Not comparable |
| HLESource | 34.5% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 43.1% | 39.5% | DeepSeek V4 Pro (High) leads |
| AA-GPQA DiamondSource | 90.5% | 90.8% | Gemini 3 Pro leads |
| AA-HLESource | 33.5% | 37.2% | Gemini 3 Pro leads |
| AA-Omniscience IndexSource | -9.7% | 15.8% | Gemini 3 Pro leads |
| AA-Omniscience AccuracySource | 41.8% | 55.9% | Gemini 3 Pro leads |
| AA-Omniscience Hallucination RateSource | 88.6% | 90.9% | DeepSeek V4 Pro (High) leads |
| AA MMLU-ProSource | — | 89.8% | Not comparable |
MathDeepSeek V4 Pro (High) wins6 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | Gemini 3 Pro | Result |
|---|---|---|---|
| HMMT Feb 2026Source | 94.0% | — | Not comparable |
| IMOAnswerBenchSource | 88.0% | — | Not comparable |
| ApexSource | 27.4% | — | Not comparable |
| Apex ShortlistSource | 85.5% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | — | 37.600% | Not comparable |
| FrontierMath v2 (Tier 4)Source | — | 18.750% | Not comparable |
Multilingual1 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | Gemini 3 Pro | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | — | 92.2% | Not comparable |
Multimodal8 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | Gemini 3 Pro | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1264 | — | 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 V4 Pro (High) | Gemini 3 Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 71.3% | 70.4% | DeepSeek V4 Pro (High) leads |
Frequently Asked Questions (2)
Which is better, DeepSeek V4 Pro (High) or Gemini 3 Pro?
Gemini 3 Pro is ahead on BenchLM's BenchAlign leaderboard, 67.73 to 55.47.
Which is better for math, DeepSeek V4 Pro (High) or Gemini 3 Pro?
DeepSeek V4 Pro (High) has the edge for math in this comparison, averaging 94 versus 32.9. Gemini 3 Pro stays close enough that the answer can still flip depending on your workload.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.