Model comparison
DeepSeek-R1 vs Gemini 2.5 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-R1 #103 (Supported); Gemini 2.5 Pro #70 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek-R1 and Gemini 2.5 Pro share 11 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek-R1; 13 to Gemini 2.5 Pro.
Updated July 22, 2026- Shared results
- 11
- DeepSeek-R1 only
- 0
- Gemini 2.5 Pro only
- 13
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek-R1 and Gemini 2.5 Pro is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 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 2.5 Pro is priced at $1.25 input / $10.00 output per 1M tokens, versus $0.55 input / $2.19 output per 1M tokens for DeepSeek-R1. Gemini 2.5 Pro has the larger context window at 1M, 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 2.5 Pro |
|---|---|---|---|
| Coding | DeepSeek-R1Not measured | MarginNo overlap | Gemini 2.5 Pro63.8 |
| Knowledge | DeepSeek-R1Not measured | MarginNo overlap | Gemini 2.5 Pro27.4 |
| Math | DeepSeek-R1Not measured | MarginNo overlap | Gemini 2.5 Pro11.6 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek-R1 | Gemini 2.5 Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek-R1$0.55 input / $2.19 output | Gemini 2.5 Pro$1.25 input / $10 output | DeepSeek-R1 has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek-R1Not available | Gemini 2.5 Pro117 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek-R1Not available | Gemini 2.5 Pro21.19 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek-R1128K | Gemini 2.5 Pro1M | Gemini 2.5 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | DeepSeek-R1 | Gemini 2.5 Pro | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 20.1% | 25.8% | Gemini 2.5 Pro leads |
| AA-GPQA DiamondSource | 81.3% | 84.4% | Gemini 2.5 Pro leads |
| AA-HLESource | 14.9% | 21.1% | Gemini 2.5 Pro leads |
| AA-Omniscience IndexSource | -27.1% | -14.3% | Gemini 2.5 Pro leads |
| AA-Omniscience AccuracySource | 31.0% | 39.0% | Gemini 2.5 Pro leads |
| AA-Omniscience Hallucination RateSource | 84.0% | 87.4% | DeepSeek-R1 leads |
| GPQASource | — | 83% | Not comparable |
| HLESource | — | 18.8% | Not comparable |
Math2 benchmarks
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | DeepSeek-R1 | Gemini 2.5 Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 39.6% | 48.7% | Gemini 2.5 Pro leads |
Frequently Asked Questions (3)
Can I compare DeepSeek-R1 and Gemini 2.5 Pro 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 2.5 Pro today?
DeepSeek-R1: $0.55 input / $2.19 output per 1M tokens Gemini 2.5 Pro: $1.25 input / $10.00 output per 1M tokens 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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