Model comparison
DeepSeek-R1 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: DeepSeek-R1 #103 (Supported); Gemini 3 Pro Deep Think #41 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek-R1 and Gemini 3 Pro Deep Think share 1 comparable benchmark result. 0 of 8 categories are comparable. 10 results are unique to DeepSeek-R1; 1 to Gemini 3 Pro Deep Think.
Updated July 20, 2026- Shared results
- 1
- DeepSeek-R1 only
- 10
- Gemini 3 Pro Deep Think only
- 1
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek-R1 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 128K for DeepSeek-R1.
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-R1 | Δ | Gemini 3 Pro Deep Think |
|---|---|---|---|
| Reasoning | DeepSeek-R1Not measured | MarginNo overlap | Gemini 3 Pro Deep Think45.1 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek-R1 | Gemini 3 Pro Deep Think | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek-R1$0.55 input / $2.19 output | Gemini 3 Pro Deep ThinkNot available | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek-R1Not available | Gemini 3 Pro Deep ThinkNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek-R1Not available | Gemini 3 Pro Deep ThinkNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek-R1128K | Gemini 3 Pro Deep Think2M | Gemini 3 Pro Deep Think lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | DeepSeek-R1 | Gemini 3 Pro Deep Think | Result |
|---|---|---|---|
| τ²-bench resultsSource | 36.5% | — | Not comparable |
Coding1 benchmarks
| Benchmark | DeepSeek-R1 | Gemini 3 Pro Deep Think | Result |
|---|---|---|---|
| AA-SciCodeSource | 40.3% | — | Not comparable |
Reasoning3 benchmarks
Knowledge6 benchmarks
| Benchmark | DeepSeek-R1 | Gemini 3 Pro Deep Think | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 20.1% | — | Not comparable |
| AA-GPQA DiamondSource | 81.3% | — | Not comparable |
| AA-HLESource | 14.9% | — | Not comparable |
| AA-Omniscience IndexSource | -27.1% | — | Not comparable |
| AA-Omniscience AccuracySource | 31.0% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 84.0% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek-R1 | Gemini 3 Pro Deep Think | Result |
|---|---|---|---|
| AA-IFBenchSource | 39.6% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeek-R1 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 DeepSeek-R1 and Gemini 3 Pro Deep Think today?
DeepSeek-R1: $0.55 input / $2.19 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.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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