DeepSeek-R1 vs Gemini 3.1 Pro

Verdict

Gemini 3.1 Pro leads 9–0 across 9 shared benchmarks.

DeepSeek-R1 0 · Gemini 3.1 Pro 9 · higher isn't always better — check the caveats below.

Per-benchmark head-to-head

Reported scores — protocols may differ. How we compare

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DeepSeek-R1Gemini 3.1 Pro

15.8
BARC-AGI
98
1.3
AARC-AGI-2
77.1
34.9
ABalrog
57
1.1
ACritPt
17.71
62.29
BGPQA diamond
92.59
51.93
AMETR Time Horizons
77.03
53.29
AOTIS Mock AIME 2024-2025
95.6
17.08
ASimpleBench
75.52
36.49
AWeirdML
72.1

Capabilities

Reasoning

Reasoning: Gemini 3.1 Pro leads 3–0 across 3 shared reasoning benchmarks (largest gap: ARC-AGI, 98 vs 15.8 — single evaluator).

2 reproduced4 unverified

What the labs claim

Vendor claims — compare against the measured scores above. A claim is what a developer says about its own model, not an independent measurement.

DeepSeek-R1

Reasoning

“After these steps, we obtained a checkpoint referred to as DeepSeek-R1, which achieves performance on par with OpenAI-o1-1217.”
arxiv.org2025
“For education-oriented knowledge benchmarks such as MMLU, MMLU-Pro, and GPQA Diamond, DeepSeek-R1 demonstrates superior performance compared to DeepSeek-V3.”
arxiv.org2025

Gemini 3.1 Pro

Agentic / Tool Use

“Gemini 3.1 Pro was evaluated across a range of benchmarks, including reasoning, multimodal capabilities, agentic tool use, multi-lingual performance, and long-context.”
deepmind.google2026

Multimodal

“a suite of highly capable, natively multimodal reasoning models”
deepmind.google2026

Reasoning

“Gemini 3.1 Pro is Google's most advanced model for complex tasks.”
deepmind.google2026

A higher score does not always mean a better model. Each number is task performance under a disclosed harness. Of the 18 measurements across 9 shared benchmarks, 18 single-evaluator or undisclosed-protocol reports; 22% are independently reproduced. DeepSeek-R1 pricing is cross-check disputed — weigh cost claims with the same caution as benchmark wins. Check any benchmark's integrity grade before reading a win as decisive.

Frequently asked questions

Gemini 3.1 Pro leads 9–0 across 9 shared benchmarks. DeepSeek-R1 leads 0 benchmarks and Gemini 3.1 Pro leads 9. Higher isn't always better — see the integrity caveats on each benchmark.

DeepSeek-R1 and Gemini 3.1 Pro have 9 benchmarks in common in our data — those are the only rows where a direct, apples-to-apples comparison is drawn.

Gemini 3.1 Pro leads reasoning 3–0.

Follow the record

These models

DeepSeek-R1 vs …

What the labs claim

Vendor claims — compare against the measured scores above. A claim is what a developer says about its own model, not an independent measurement.

DeepSeek-R1

Reasoning

“After these steps, we obtained a checkpoint referred to as DeepSeek-R1, which achieves performance on par with OpenAI-o1-1217.”
arxiv.org2025
“For education-oriented knowledge benchmarks such as MMLU, MMLU-Pro, and GPQA Diamond, DeepSeek-R1 demonstrates superior performance compared to DeepSeek-V3.”
arxiv.org2025

Gemini 3.1 Pro

Agentic / Tool Use

“Gemini 3.1 Pro was evaluated across a range of benchmarks, including reasoning, multimodal capabilities, agentic tool use, multi-lingual performance, and long-context.”
deepmind.google2026

Multimodal

“a suite of highly capable, natively multimodal reasoning models”
deepmind.google2026

Reasoning

“Gemini 3.1 Pro is Google's most advanced model for complex tasks.”
deepmind.google2026

Frequently asked questions

Gemini 3.1 Pro leads 9–0 across 9 shared benchmarks. DeepSeek-R1 leads 0 benchmarks and Gemini 3.1 Pro leads 9. Higher isn't always better — see the integrity caveats on each benchmark.

DeepSeek-R1 and Gemini 3.1 Pro have 9 benchmarks in common in our data — those are the only rows where a direct, apples-to-apples comparison is drawn.

Gemini 3.1 Pro leads reasoning 3–0.