Model comparison
DeepSeek-R1 vs Gemini 3.1 Flash-Lite
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 3.1 Flash-Lite #111 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek-R1 and Gemini 3.1 Flash-Lite share 11 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek-R1; 9 to Gemini 3.1 Flash-Lite.
Updated July 20, 2026- Shared results
- 11
- DeepSeek-R1 only
- 0
- Gemini 3.1 Flash-Lite only
- 9
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek-R1 and Gemini 3.1 Flash-Lite 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.
DeepSeek-R1 is priced at $0.55 input / $2.19 output per 1M tokens, versus $0.25 input / $1.50 output per 1M tokens for Gemini 3.1 Flash-Lite. Gemini 3.1 Flash-Lite 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 3.1 Flash-Lite |
|---|---|---|---|
| Multimodal | DeepSeek-R1Not measured | MarginNo overlap | Gemini 3.1 Flash-Lite73.2 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek-R1 | Gemini 3.1 Flash-Lite | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek-R1$0.55 input / $2.19 output | Gemini 3.1 Flash-Lite$0.25 input / $1.5 output | Gemini 3.1 Flash-Lite has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek-R1Not available | Gemini 3.1 Flash-Lite205 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek-R1Not available | Gemini 3.1 Flash-Lite7.50 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek-R1128K | Gemini 3.1 Flash-Lite1M | Gemini 3.1 Flash-Lite lists the larger context window. |
Benchmark Deep Dive
Agentic6 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | DeepSeek-R1 | Gemini 3.1 Flash-Lite | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 20.1% | 25.0% | Gemini 3.1 Flash-Lite leads |
| AA-GPQA DiamondSource | 81.3% | 82.2% | Gemini 3.1 Flash-Lite leads |
| AA-HLESource | 14.9% | 16.2% | Gemini 3.1 Flash-Lite leads |
| AA-Omniscience IndexSource | -27.1% | -15.5% | Gemini 3.1 Flash-Lite leads |
| AA-Omniscience AccuracySource | 31.0% | 36.4% | Gemini 3.1 Flash-Lite leads |
| AA-Omniscience Hallucination RateSource | 84.0% | 81.6% | Gemini 3.1 Flash-Lite leads |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | DeepSeek-R1 | Gemini 3.1 Flash-Lite | Result |
|---|---|---|---|
| AA-IFBenchSource | 39.6% | 77.2% | Gemini 3.1 Flash-Lite leads |
Frequently Asked Questions (3)
Can I compare DeepSeek-R1 and Gemini 3.1 Flash-Lite 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 3.1 Flash-Lite today?
DeepSeek-R1: $0.55 input / $2.19 output per 1M tokens Gemini 3.1 Flash-Lite: $0.25 input / $1.50 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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