Compare / Qwen3.5-35B-A3B vs GLM-4.6V
Qwen3.5-35B-A3B vs GLM-4.6V
Which is cheaper, which is more capable, and which does better at each kind of work, from 17 results on 3 sources that measured both models.
Of the 17 results both models have, the better value on each. Results whose reported ranges overlap are too close to call.
Results as of 9 October 2026 (catalogue release 2026-10-09-dd620e778ac5). See also Alibaba vs Z.ai, every model from both labs.
Qwen3.5-35B-A3B or GLM-4.6V? The short answer
Pick Qwen3.5-35B-A3B: it scores higher (Intelligence Index 19.3 against 11.2) at about the same price.
- They cost about the same: $0.45 and $0.45 per million tokens (three input to one output).
- Qwen3.5-35B-A3B scores higher on the Artificial Analysis Intelligence Index: 19.3 against 11.2.
- Qwen3.5-35B-A3B is newer: released 24 Feb 2026, against 8 Dec 2025 for GLM-4.6V.
- On third-party benchmarks, on the results both models have: Qwen3.5-35B-A3B does better for reasoning and knowledge, writing and sticking to the facts.
Head to head
Every fact side by side
| Qwen3.5-35B-A3B | GLM-4.6V | |
|---|---|---|
| Price per million tokens | $0.16 in · $1.30 out | $0.30 in · $0.90 out |
| Blended (3 in : 1 out) | $0.45 | $0.45 |
| Cheapest host, blended | $0.25 (Darkbloom, FP4) | $0.45 (Novita, BF16) |
| Intelligence Index | 19.3 | 11.2 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | – | – |
| Context window | 262,144 tokens | 131,072 tokens |
| Released | 24 Feb 2026 (newer) | 8 Dec 2025 |
| Weights | Open | Open |
| Developer based in | China | China |
Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.
Which is better for what
Each model's rank among the models on sale today, for each kind of work, from our own benchmarks and licensed sources. Further right is better; the better rank is in green.
Every shared result
Each model's best result on every measure both have, grouped by benchmark, with the setting that produced it. Under each measure, every model that benchmark has measured is a grey tick, best to the right, so you can see where the two sit in the field. The headline measures of each benchmark come first; the rest are under "Show all". Green marks the better value; where a source reports ranges that overlap, neither is marked.
| Measure | Qwen3.5-35B-A3B | GLM-4.6V |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Overall · TextArena rating, higher is better 147 · 164 of 387 measured | 1,394 | 1,379 |
| Overall · Text factualityArena rating, higher is better 129 · 139 of 163 measured | 1,407 | 1,392 |
| Business, management and finance · TextArena rating, higher is better 139 · 165 of 380 measured | 1,403 | 1,370 |
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 108 · 161 of 243 measured | 19.3 | 11.2thinking reasoning |
| GPQA Diamond% of questions, higher is better 84 · 151 of 231 measured | 84.5% | 71.9%thinking reasoning |
| Humanity's Last Exam% of questions, higher is better 106 · 159 of 242 measured | 21.0% | 9.6%thinking reasoning |
| UGI Leaderboard reported by UGI Leaderboard · 3 results | ||
| Writing score · UGIscore out of 100, higher is better 97 · 111 of 230 measured | 42.6think-prefill reasoning | 39.7thinking reasoning |
| Requested-length error · UGI% off the requested word count, lower is better 83 · 180 of 230 measured | 17.0%no reasoning | 35.0%thinking reasoning |
| Style adherence · UGIscore from 0 to 1, higher is better 151 · 22 of 230 measured | 0.33no reasoning | 0.39no reasoning |
Show all 17 results (8 more)
| Measure | Qwen3.5-35B-A3B | GLM-4.6V |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 4 results | ||
| Creative writing · TextArena rating, higher is better 163 · 153 of 385 measured | 1,342 | 1,351 |
| Expert prompts · TextArena rating, higher is better 134 · 164 of 338 measured | 1,419 | 1,394 |
| Instruction following · TextArena rating, higher is better 140 · 163 of 387 measured | 1,386 | 1,367 |
| Writing, literature and language · TextArena rating, higher is better 155 · 160 of 386 measured | 1,363 | 1,357 |
| Artificial Analysis reported by Artificial Analysis · 4 results | ||
| IFBench% of instructions, higher is better 39 · 181 of 195 measured | 72.5% | 30.1%thinking reasoning |
| Long-context reasoning (AA-LCR)% of questions, higher is better 99 · 158 of 233 measured | 72.0% | 48.7%thinking reasoning |
| Terminal-Bench Hard% of tasks, higher is better 74 · 114 of 190 measured | 26.5% | 14.4%thinking reasoning |
| τ²-bench telecom% of tasks, higher is better 45 · 130 of 193 measured | 89.2% | 31.6%thinking reasoning |
Compare them with other models
Quick answers
Is Qwen3.5-35B-A3B better than GLM-4.6V?
Pick Qwen3.5-35B-A3B: it scores higher (Intelligence Index 19.3 against 11.2) at about the same price.
Which is cheaper, Qwen3.5-35B-A3B or GLM-4.6V?
They cost about the same: $0.45 and $0.45 per million tokens (three input to one output).
Which is better for reasoning and knowledge, Qwen3.5-35B-A3B or GLM-4.6V?
Qwen3.5-35B-A3B ranks 92 of 198 models on sale for hard questions across science, maths and general knowledge, against 135 for GLM-4.6V.
Which is better for writing, Qwen3.5-35B-A3B or GLM-4.6V?
Qwen3.5-35B-A3B ranks 108 of 188 models on sale for what people prefer in blind comparisons, and judged writing quality, against 120 for GLM-4.6V.
Which is better for sticking to the facts, Qwen3.5-35B-A3B or GLM-4.6V?
Qwen3.5-35B-A3B ranks 112 of 152 models on sale for summarising without inventing things, and factual answers, against 134 for GLM-4.6V.
Which has the bigger context window, Qwen3.5-35B-A3B or GLM-4.6V?
Qwen3.5-35B-A3B: 262,144 tokens, against 131,072 for GLM-4.6V.
Run Qwen3.5-35B-A3B and GLM-4.6V on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.