Model comparison
GLM-4.7 vs Qwen3.5 35B-A3B
GLM-4.7 and Qwen3.5 35B-A3B score almost the same on the Noometry Index (42.0 vs 42.0), so choose on price, context window or the category you care about most.
Last verified . 25 shared benchmarks.
Alibaba (Qwen)Summary
- They share 25 benchmarks with published results for both. GLM-4.7 scores higher in 5 categories and Qwen3.5 35B-A3B in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-4.7 leads 44.0 to 33.8.
- The biggest single-benchmark swing is SciCode: 45.1% for GLM-4.7 and 29.3% for Qwen3.5 35B-A3B.
- Qwen3.5 35B-A3B is cheaper at $0.25 / $2 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.
- Qwen3.5 35B-A3B accepts more context: 262K tokens versus 205K.
Side by side
| GLM-4.7 | Qwen3.5 35B-A3B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 42.0 | 42.0 |
| Released | 2025-12-22 | 2026-02-01 |
| Weights | Open | Open |
| Context window | 205K | 262K |
| Max output | 131K | 66K |
| Input $ / M tokens | $0.60 | $0.25 |
| Output $ / M tokens | $2.20 | $2 |
| Results tracked | 36 | 28 |
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Category by category
Coding GLM-4.7 leads
GLM-4.7: 44.0 (#79), Qwen3.5 35B-A3B: 33.8 (#251)
| Benchmark | GLM-4.7 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena WebDev | 1435 | 1254 |
| SciCode | 45.1% | 29.3% |
| LMArena Coding | 1454 | 1410 |
| ALE-Bench | 399.48 | — |
Agentic & Tool Use Not comparable
GLM-4.7: 26.5 (#103), Qwen3.5 35B-A3B: —
| Benchmark | GLM-4.7 | Qwen3.5 35B-A3B |
|---|---|---|
| Terminal-Bench | 33.4% | — |
| Vending-Bench 2 | 2,377 | — |
Reasoning Too close to call
GLM-4.7: 24.3 (#164), Qwen3.5 35B-A3B: 24.6 (#161)
| Benchmark | GLM-4.7 | Qwen3.5 35B-A3B |
|---|---|---|
| CritPt | 1.7% | 0.6% |
| Chess Puzzles | 6% | 10% |
| LMArena Hard Prompts | 1443 | 1400 |
| Epoch Capabilities Index | 143.51 | 142.52 |
| SimpleBench | 47.7% | — |
| DTBench | — | 80% |
| LMCA | — | 29.5% |
Math Qwen3.5 35B-A3B leads
GLM-4.7: 38.6 (#135), Qwen3.5 35B-A3B: 39.9 (#97)
| Benchmark | GLM-4.7 | Qwen3.5 35B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 83.3% | 70% |
| LMArena Math | 1423 | 1404 |
| MathArena Final-Answer Competitions | — | 56% |
| ProofBench | 6% | — |
| FrontierMath (Feb 2025 set) | 2.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Too close to call
GLM-4.7: 47.0 (#80), Qwen3.5 35B-A3B: 47.8 (#79)
| Benchmark | GLM-4.7 | Qwen3.5 35B-A3B |
|---|---|---|
| GPQA Diamond | 83.3% | 83.5% |
| Vectara Hallucination Rate | 11.7% | 10.5% |
| LMArena Expert | 1424 | 1408 |
| SimpleQA Verified | 32.2% | — |
Multilingual GLM-4.7 leads
GLM-4.7: 52.8 (#79), Qwen3.5 35B-A3B: 50.0 (#127)
| Benchmark | GLM-4.7 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Non-English | 1417 | 1378 |
| LMArena Chinese | 1495 | 1457 |
| LMArena French | 1432 | 1412 |
| LMArena German | 1424 | 1367 |
| LMArena Japanese | 1439 | 1325 |
| LMArena Korean | 1399 | 1356 |
| LMArena Russian | 1423 | 1376 |
| LMArena Spanish | 1434 | 1392 |
Instruction Following GLM-4.7 leads
GLM-4.7: 74.4 (#95), Qwen3.5 35B-A3B: 72.8 (#128)
| Benchmark | GLM-4.7 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 1411 | 1379 |
Long Context Too close to call
GLM-4.7: 42.8 (#116), Qwen3.5 35B-A3B: 42.4 (#127)
| Benchmark | GLM-4.7 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1432 | 1389 |
| CL-bench | 15.9% | — |
| CL-bench Life | 10.9% | — |
Writing & Preference GLM-4.7 leads
GLM-4.7: 60.9 (#93), Qwen3.5 35B-A3B: 57.9 (#124)
| Benchmark | GLM-4.7 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Text | 1435 | 1395 |
| LMArena Creative Writing | 1401 | 1346 |
| LMArena Multi-Turn | 1446 | 1390 |
| EQ-Bench Creative Writing | 1413 | — |
Frequently asked questions
Is GLM-4.7 better than Qwen3.5 35B-A3B?
GLM-4.7 and Qwen3.5 35B-A3B score almost the same on the Noometry Index (42.0 vs 42.0), so choose on price, context window or the category you care about most.
Which is cheaper, GLM-4.7 or Qwen3.5 35B-A3B?
Qwen3.5 35B-A3B is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.
Is GLM-4.7 or Qwen3.5 35B-A3B better for coding?
GLM-4.7 scores higher on coding benchmarks: 44.0 versus 33.8 in the Noometry coding category.
Which has the bigger context window?
Qwen3.5 35B-A3B does, with 262K tokens against 205K.
How many benchmarks do GLM-4.7 and Qwen3.5 35B-A3B share?
25 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Qwen3.5 35B-A3B has 28.