Compare · ModelsLive · 2 picked · head to head
Gemini 3.7 Flash vs GLM 5
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Gemini 3.7 Flash wins on 6/6 benchmarks
Gemini 3.7 Flash wins 6 of 6 shared benchmarks. Leads in agentic · reasoning · knowledge.
Category leads
agentic·Gemini 3.7 Flashreasoning·Gemini 3.7 Flashknowledge·Gemini 3.7 Flashmath·Gemini 3.7 Flash
Hype vs Reality
Attention vs performance
Gemini 3.7 Flash
#59 by perf·#10 by attention
GLM 5
#90 by perf·#3 by attention
Best value
GLM 5
1.0x better value than Gemini 3.7 Flash
Gemini 3.7 Flash
25.9 pts/$
$2.25/M
GLM 5
26.0 pts/$
$2.10/M
Vendor risk
Who is behind the model
Google DeepMind
$3.53T·Tier 1
z-ai
private · undisclosed
Head to head
6 benchmarks · 2 models
Gemini 3.7 FlashGLM 5
APEX-Agents
Gemini 3.7 Flash leads by +50.6
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
GLM 5
17.2
ARC-AGI
Gemini 3.7 Flash leads by +50.8
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
GLM 5
44.7
ARC-AGI-2
Gemini 3.7 Flash leads by +79.7
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
GLM 5
4.9
Chess Puzzles
Gemini 3.7 Flash leads by +54.2
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Gemini 3.7 Flash
64.2
GLM 5
10.0
GPQA diamond
Gemini 3.7 Flash leads by +13.2
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
97.0
GLM 5
83.8
OTIS Mock AIME 2024-2025
Gemini 3.7 Flash leads by +17.2
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Gemini 3.7 Flash
97.2
GLM 5
80.0
Full benchmark table
| Benchmark | Gemini 3.7 Flash | GLM 5 |
|---|---|---|
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 | 17.2 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 95.5 | 44.7 |
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 | 4.9 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 64.2 | 10.0 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 97.0 | 83.8 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 97.2 | 80.0 |
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 | |
| $1.00 | $3.20 | 205K tokens (~102 books) | $15.50 |