Compare · ModelsLive · 2 picked · head to head
Gemini 3.7 Flash vs Claude Opus 4.6
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Gemini 3.7 Flash wins on 15/16 benchmarks
Gemini 3.7 Flash wins 15 of 16 shared benchmarks. Leads in agentic · reasoning · knowledge.
Category leads
agentic·Gemini 3.7 Flashreasoning·Gemini 3.7 Flashknowledge·Gemini 3.7 Flashgeneral·Gemini 3.7 Flashcoding·Gemini 3.7 Flashmath·Gemini 3.7 Flash
Hype vs Reality
Attention vs performance
Gemini 3.7 Flash
#60 by perf·#8 by attention
Claude Opus 4.6
#136 by perf·#6 by attention
Best value
Gemini 3.7 Flash
8.0x better value than Claude Opus 4.6
Gemini 3.7 Flash
25.6 pts/$
$2.25/M
Claude Opus 4.6
3.2 pts/$
$15.00/M
Vendor risk
Who is behind the model
Google DeepMind
$4.20T·Tier 1
Anthropic
$965.0B·Tier 1
Head to head
16 benchmarks · 2 models
Gemini 3.7 FlashClaude Opus 4.6
APEX-Agents
Gemini 3.7 Flash leads by +21.5
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Gemini 3.7 Flash
67.8
Claude Opus 4.6
46.3
ARC-AGI
Gemini 3.7 Flash leads by +1.5
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Gemini 3.7 Flash
95.5
Claude Opus 4.6
94.0
ARC-AGI-2
Gemini 3.7 Flash leads by +15.4
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
Gemini 3.7 Flash
84.6
Claude Opus 4.6
69.2
Chess Puzzles
Gemini 3.7 Flash leads by +31.6
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Gemini 3.7 Flash
44.2
Claude Opus 4.6
12.7
Dtbench
Gemini 3.7 Flash leads by +9.3
Gemini 3.7 Flash
94.7
Claude Opus 4.6
85.3
Frontiercode
Gemini 3.7 Flash leads by +17.0
Gemini 3.7 Flash
43.6
Claude Opus 4.6
26.6
FrontierMath-Tier-4-v2-Private
Gemini 3.7 Flash leads by +9.8
Gemini 3.7 Flash
36.6
Claude Opus 4.6
26.8
FrontierMath-Tiers-1-3-v2-Private
Gemini 3.7 Flash leads by +5.6
Gemini 3.7 Flash
71.6
Claude Opus 4.6
66.0
Furniture Assembly
Gemini 3.7 Flash
0.0
Claude Opus 4.6
0.0
GPQA diamond
Gemini 3.7 Flash leads by +5.7
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Gemini 3.7 Flash
93.1
Claude Opus 4.6
87.4
Lmca
Claude Opus 4.6 leads by +6.3
Gemini 3.7 Flash
59.3
Claude Opus 4.6
65.6
Mystery Game Puzzles
Gemini 3.7 Flash leads by +13.2
Gemini 3.7 Flash
30.6
Claude Opus 4.6
17.4
OTIS Mock AIME 2024-2025
Gemini 3.7 Flash leads by +2.8
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Gemini 3.7 Flash
97.2
Claude Opus 4.6
94.4
Proofbench
Gemini 3.7 Flash leads by +8.0
Gemini 3.7 Flash
58.0
Claude Opus 4.6
50.0
Remote Labor Index
Gemini 3.7 Flash leads by +0.8
Gemini 3.7 Flash
5.0
Claude Opus 4.6
4.2
SimpleQA Verified
Gemini 3.7 Flash leads by +22.2
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Gemini 3.7 Flash
69.2
Claude Opus 4.6
47.0
Full benchmark table
| Benchmark | Gemini 3.7 Flash | Claude Opus 4.6 |
|---|---|---|
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 67.8 | 46.3 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 95.5 | 94.0 |
ARC-AGI-2 ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data. | 84.6 | 69.2 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 44.2 | 12.7 |
Dtbench | 94.7 | 85.3 |
Frontiercode | 43.6 | 26.6 |
FrontierMath-Tier-4-v2-Private | 36.6 | 26.8 |
FrontierMath-Tiers-1-3-v2-Private | 71.6 | 66.0 |
Furniture Assembly | 0.0 | 0.0 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 93.1 | 87.4 |
Lmca | 59.3 | 65.6 |
Mystery Game Puzzles | 30.6 | 17.4 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 97.2 | 94.4 |
Proofbench | 58.0 | 50.0 |
Remote Labor Index | 5.0 | 4.2 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 69.2 | 47.0 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.75 | $3.75 | 1.0M tokens (~524 books) | $15.00 | |
| $5.00 | $25.00 | 1.0M tokens (~500 books) | $100.00 |