Compare / Qwen3-235B-A22B-Instruct-2507 vs GLM-4.6V

Qwen3-235B-A22B-Instruct-2507 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.

AlibabaQwen3-235B-A22B-Instruct-2507 Released 21 Jul 2025 · $0.15 in · $0.75 out
Z.aiGLM-4.6V Released 8 Dec 2025 · $0.30 in · $0.90 out
Qwen3-235B-A22B-Instruct-2507 wins 141 too close to callGLM-4.6V wins 2

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.

Qwen3-235B-A22B-Instruct-2507 or GLM-4.6V? The short answer

They score about the same, so pick Qwen3-235B-A22B-Instruct-2507: it costs 33% less per token.

  • Qwen3-235B-A22B-Instruct-2507 is cheaper: $0.30 against $0.45 per million tokens, 33% less.
  • They score about the same on the Artificial Analysis Intelligence Index (12.0 and 11.2).
  • GLM-4.6V is newer: released 8 Dec 2025, against 21 Jul 2025 for Qwen3-235B-A22B-Instruct-2507.
  • On third-party benchmarks, on the results both models have: Qwen3-235B-A22B-Instruct-2507 does better for reasoning and knowledge, writing and sticking to the facts.

Head to head

12.0
Intelligence Index
11.2
$0.30
Price per million tokens, blendedlower is better
$0.45
262,144
Context window, tokens
131,072

Every fact side by side

Qwen3-235B-A22B-Instruct-2507GLM-4.6V
Price per million tokens$0.15 in · $0.75 out$0.30 in · $0.90 out
Blended (3 in : 1 out)$0.30$0.45
Cheapest host, blended$0.15 (GMICloud, FP8)$0.45 (Novita, BF16)
Intelligence Index12.011.2
Spring Prompt overall––
Output speed, tokens a second––
Context window262,144 tokens131,072 tokens
Released21 Jul 20258 Dec 2025 (newer)
WeightsOpenOpen
Developer based inChinaChina

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.

Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls 51 of 164 not measured
Reasoning and knowledgeHard questions across science, maths and general knowledge 129 of 198 135 of 198
WritingWhat people prefer in blind comparisons, and judged writing quality 85 of 188 120 of 188
Sticking to the factsSummarising without inventing things, and factual answers 98 of 152 134 of 152

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.

MeasureQwen3-235B-A22B-Instruct-2507GLM-4.6V
Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results
Overall · TextArena rating, higher is better 109 · 164 of 387 measured 1,422 1,379
Overall · Text factualityArena rating, higher is better 94 · 139 of 163 measured 1,431 1,392
Business, management and finance · TextArena rating, higher is better 97 · 165 of 380 measured 1,432 1,370
Artificial Analysis reported by Artificial Analysis · 3 results
Artificial Analysis Intelligence Indexindex score, higher is better 153 · 161 of 243 measured 12.0 11.2thinking reasoning
GPQA Diamond% of questions, higher is better 136 · 151 of 231 measured 75.3% 71.9%thinking reasoning
Humanity's Last Exam% of questions, higher is better 144 · 159 of 242 measured 11.1% 9.6%thinking reasoning
UGI Leaderboard reported by UGI Leaderboard · 3 results
Writing score · UGIscore out of 100, higher is better 80 · 111 of 230 measured 49.0 39.7thinking reasoning
Requested-length error · UGI% off the requested word count, lower is better 69 · 180 of 230 measured 15.0% 35.0%thinking reasoning
Style adherence · UGIscore from 0 to 1, higher is better 64 · 22 of 230 measured 0.36 0.39no reasoning
Show all 17 results (8 more)
MeasureQwen3-235B-A22B-Instruct-2507GLM-4.6V
Arena (formerly LMArena) reported by Arena (formerly LMArena) · 4 results
Creative writing · TextArena rating, higher is better 122 · 153 of 385 measured 1,378 1,351
Expert prompts · TextArena rating, higher is better 103 · 164 of 338 measured 1,447 1,394
Instruction following · TextArena rating, higher is better 104 · 163 of 387 measured 1,414 1,367
Writing, literature and language · TextArena rating, higher is better 115 · 160 of 386 measured 1,396 1,357
Artificial Analysis reported by Artificial Analysis · 4 results
IFBench% of instructions, higher is better 113 · 181 of 195 measured 46.1% 30.1%thinking reasoning
Long-context reasoning (AA-LCR)% of questions, higher is better 177 · 158 of 233 measured 33.9% 48.7%thinking reasoning
Terminal-Bench Hard% of tasks, higher is better 110 · 114 of 190 measured 15.2% 14.4%thinking reasoning
τ²-bench telecom% of tasks, higher is better 127 · 130 of 193 measured 33.3% 31.6%thinking reasoning

Quick answers

Is Qwen3-235B-A22B-Instruct-2507 better than GLM-4.6V?

They score about the same, so pick Qwen3-235B-A22B-Instruct-2507: it costs 33% less per token.

Which is cheaper, Qwen3-235B-A22B-Instruct-2507 or GLM-4.6V?

Qwen3-235B-A22B-Instruct-2507 is cheaper: $0.30 against $0.45 per million tokens, 33% less.

Which is better for reasoning and knowledge, Qwen3-235B-A22B-Instruct-2507 or GLM-4.6V?

Qwen3-235B-A22B-Instruct-2507 ranks 129 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, Qwen3-235B-A22B-Instruct-2507 or GLM-4.6V?

Qwen3-235B-A22B-Instruct-2507 ranks 85 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, Qwen3-235B-A22B-Instruct-2507 or GLM-4.6V?

Qwen3-235B-A22B-Instruct-2507 ranks 98 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, Qwen3-235B-A22B-Instruct-2507 or GLM-4.6V?

Qwen3-235B-A22B-Instruct-2507: 262,144 tokens, against 131,072 for GLM-4.6V.

Run Qwen3-235B-A22B-Instruct-2507 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.

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