Compare · ModelsLive · 2 picked · head to head
GLM 4.7 vs Qwen3.5 397B A17B
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Qwen3.5 397B A17B wins on 9/12 benchmarks
Qwen3.5 397B A17B wins 9 of 12 shared benchmarks. Leads in agentic · knowledge · language.
Category leads
agentic·Qwen3.5 397B A17Barena·GLM 4.7knowledge·Qwen3.5 397B A17Bmath·GLM 4.7language·Qwen3.5 397B A17Bcoding·GLM 4.7
Hype vs Reality
Attention vs performance
GLM 4.7
#152 by perf·#3 by attention
Qwen3.5 397B A17B
#48 by perf·#2 by attention
Best value
GLM 4.7
1.1x better value than Qwen3.5 397B A17B
GLM 4.7
32.9 pts/$
$1.40/M
Qwen3.5 397B A17B
29.6 pts/$
$2.02/M
Vendor risk
Who is behind the model
z-ai
private · undisclosed
Alibaba (Qwen)
$293.0B·Tier 1
Head to head
12 benchmarks · 2 models
GLM 4.7Qwen3.5 397B A17B
APEX-Agents
Qwen3.5 397B A17B leads by +21.8
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
GLM 4.7
3.1
Qwen3.5 397B A17B
24.9
Chatbot Arena Elo · Coding
GLM 4.7 leads by +35.0
GLM 4.7
1434.5
Qwen3.5 397B A17B
1399.4
Chatbot Arena Elo · Overall
Qwen3.5 397B A17B leads by +0.3
GLM 4.7
1441.5
Qwen3.5 397B A17B
1441.8
Chess Puzzles
Qwen3.5 397B A17B leads by +7.4
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
GLM 4.7
1.1
Qwen3.5 397B A17B
8.5
GPQA diamond
Qwen3.5 397B A17B leads by +4.0
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
GLM 4.7
77.8
Qwen3.5 397B A17B
81.8
OpenCompass · AIME2025
GLM 4.7 leads by +3.1
GLM 4.7
95.4
Qwen3.5 397B A17B
92.3
OpenCompass · GPQA-Diamond
Qwen3.5 397B A17B leads by +1.5
GLM 4.7
86.9
Qwen3.5 397B A17B
88.4
OpenCompass · HLE
Qwen3.5 397B A17B leads by +2.1
GLM 4.7
25.4
Qwen3.5 397B A17B
27.5
OpenCompass · IFEval
Qwen3.5 397B A17B leads by +1.3
GLM 4.7
90.2
Qwen3.5 397B A17B
91.5
OpenCompass · LiveCodeBenchV6
GLM 4.7 leads by +0.8
GLM 4.7
83.8
Qwen3.5 397B A17B
83.0
OpenCompass · MMLU-Pro
Qwen3.5 397B A17B leads by +3.6
GLM 4.7
84.0
Qwen3.5 397B A17B
87.6
OTIS Mock AIME 2024-2025
Qwen3.5 397B A17B leads by +5.6
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
GLM 4.7
83.3
Qwen3.5 397B A17B
88.9
Full benchmark table
| Benchmark | GLM 4.7 | Qwen3.5 397B A17B |
|---|---|---|
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 3.1 | 24.9 |
Chatbot Arena Elo · Coding | 1434.5 | 1399.4 |
Chatbot Arena Elo · Overall | 1441.5 | 1441.8 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 1.1 | 8.5 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 77.8 | 81.8 |
OpenCompass · AIME2025 | 95.4 | 92.3 |
OpenCompass · GPQA-Diamond | 86.9 | 88.4 |
OpenCompass · HLE | 25.4 | 27.5 |
OpenCompass · IFEval | 90.2 | 91.5 |
OpenCompass · LiveCodeBenchV6 | 83.8 | 83.0 |
OpenCompass · MMLU-Pro | 84.0 | 87.6 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 83.3 | 88.9 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.60 | $2.20 | 205K tokens (~102 books) | $10.00 | |
| $0.55 | $3.50 | 262K tokens (~131 books) | $12.88 |