Compare / Qwen3-235B-A22B-Thinking-2507 vs GPT-6 Luna
Qwen3-235B-A22B-Thinking-2507 vs GPT-6 Luna
Which is cheaper, which is more capable, and which does better at each kind of work, from 12 results on 3 sources that measured both models.
Of the 12 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 OpenAI, every model from both labs.
Qwen3-235B-A22B-Thinking-2507 or GPT-6 Luna? The short answer
Pick GPT-6 Luna: it scores higher (Intelligence Index 38.1 against 12.7) and costs less.
- GPT-6 Luna is cheaper: $0.20 against $0.97 per million tokens, 4.9 times less.
- GPT-6 Luna scores higher on the Artificial Analysis Intelligence Index: 38.1 against 12.7.
- GPT-6 Luna is newer: released 22 Sep 2026, against 25 Jul 2025 for Qwen3-235B-A22B-Thinking-2507.
- On third-party benchmarks, on the results both models have: GPT-6 Luna does better for agents and tool use, reasoning and knowledge, writing and sticking to the facts.
Head to head
Every fact side by side
| Qwen3-235B-A22B-Thinking-2507 | GPT-6 Luna | |
|---|---|---|
| Price per million tokens | $0.30 in · $3.00 out | $0.10 in · $0.50 out |
| Blended (3 in : 1 out) | $0.97 | $0.20 |
| Cheapest host, blended | $0.75 (Alibaba) | $0.20 (Azure) |
| Cached input, per million | – | $0.010 cached input |
| Intelligence Index | 12.7 | 38.1 |
| Spring Prompt overall | – | 40 |
| Output speed, tokens a second | – | 127 |
| Context window | 131,072 tokens | 1,050,000 tokens |
| Released | 25 Jul 2025 | 22 Sep 2026 (newer) |
| Weights | Open | Closed |
| Developer based in | China | the US |
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.
From our research
- AI Checkpoint: Sol’s new fast lane 9 Oct 2026
- We Raced AI Models to Find One Small Thing in a Huge Picture. Cutting It Up More Than Doubled What They Found. 8 Oct 2026
- Claude Haiku 5.5 Is Far Better Than Haiku 4.5 at a Tenth of the Price. GPT-6 Luna Still Beats It at Business Work. 8 Oct 2026
- Mistral Large 4 Is Fast, Cheap and Europe's Best Model. On Business Work, It Still Makes Things Up. 7 Oct 2026
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 | Qwen3-235B-A22B-Thinking-2507 | GPT-6 Luna |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Overall · TextArena rating, higher is better 139 · 78 of 387 measured | 1,400 | 1,443max reasoning |
| Business, management and finance · TextArena rating, higher is better 133 · 71 of 380 measured | 1,404 | 1,447max reasoning |
| Creative writing · TextArena rating, higher is better 133 · 77 of 385 measured | 1,371 | 1,413max reasoning |
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 147 · 35 of 243 measured | 12.7 | 38.1max reasoning |
| Humanity's Last Exam% of questions, higher is better 122 · 47 of 242 measured | 15.9% | 38.5%max reasoning |
| Terminal-Bench 4.0% of tasks, higher is better 66 · 32 of 112 measured | 0.0% | 12.6%max reasoning |
| SimpleQA Verified (Epoch AI) reported by SimpleQA Verified (Epoch AI) · 1 result | ||
| Correct answers% of questions, higher is better 44 · 40 of 76 measured | 40.4% | 41.4%max reasoning |
Show all 12 results (5 more)
| Measure | Qwen3-235B-A22B-Thinking-2507 | GPT-6 Luna |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Expert prompts · TextArena rating, higher is better 85 · 40 of 338 measured | 1,466 | 1,498max reasoning |
| Instruction following · TextArena rating, higher is better 142 · 57 of 387 measured | 1,385 | 1,448max reasoning |
| Writing, literature and language · TextArena rating, higher is better 139 · 79 of 386 measured | 1,377 | 1,421max reasoning |
| Artificial Analysis reported by Artificial Analysis · 2 results | ||
| Long-context reasoning (AA-LCR)% of questions, higher is better 99 · 12 of 233 measured | 72.0% | 83.3%max reasoning |
| SciCode% of problems, higher is better 74 · 26 of 113 measured | 41.4% | 54.6%max reasoning |
Compare them with other models
Quick answers
Is Qwen3-235B-A22B-Thinking-2507 better than GPT-6 Luna?
Pick GPT-6 Luna: it scores higher (Intelligence Index 38.1 against 12.7) and costs less.
Which is cheaper, Qwen3-235B-A22B-Thinking-2507 or GPT-6 Luna?
GPT-6 Luna is cheaper: $0.20 against $0.97 per million tokens, 4.9 times less.
Which is better for agents and tool use, Qwen3-235B-A22B-Thinking-2507 or GPT-6 Luna?
GPT-6 Luna ranks 43 of 164 models on sale for multi-step tasks with tools: support desks, coding agents, function calls, against 138 for Qwen3-235B-A22B-Thinking-2507.
Which is better for reasoning and knowledge, Qwen3-235B-A22B-Thinking-2507 or GPT-6 Luna?
GPT-6 Luna ranks 40 of 198 models on sale for hard questions across science, maths and general knowledge, against 117 for Qwen3-235B-A22B-Thinking-2507.
Which is better for writing, Qwen3-235B-A22B-Thinking-2507 or GPT-6 Luna?
GPT-6 Luna ranks 60 of 188 models on sale for what people prefer in blind comparisons, and judged writing quality, against 122 for Qwen3-235B-A22B-Thinking-2507.
Which is better for sticking to the facts, Qwen3-235B-A22B-Thinking-2507 or GPT-6 Luna?
Qwen3-235B-A22B-Thinking-2507 ranks 92 of 152 models on sale for summarising without inventing things, and factual answers, against 94 for GPT-6 Luna.
Which has the bigger context window, Qwen3-235B-A22B-Thinking-2507 or GPT-6 Luna?
GPT-6 Luna: 1,050,000 tokens, against 131,072 for Qwen3-235B-A22B-Thinking-2507.
Run Qwen3-235B-A22B-Thinking-2507 and GPT-6 Luna on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.