Compare / Qwen3.7-Max vs GPT-5.6 Luna
Qwen3.7-Max vs GPT-5.6 Luna
Which is cheaper, which is more capable, and which does better at each kind of work, from 14 results on 3 sources that measured both models.
Of the 14 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.
Qwen3.7-Max or GPT-5.6 Luna? The short answer
Pick GPT-5.6 Luna: it scores higher (Intelligence Index 37.3 against 29.5) and costs less.
- GPT-5.6 Luna is cheaper: $0.45 against $2.21 per million tokens, 4.9 times less.
- GPT-5.6 Luna scores higher on the Artificial Analysis Intelligence Index: 37.3 against 29.5.
- GPT-5.6 Luna is newer: released 9 Jul 2026, against 19 May 2026 for Qwen3.7-Max.
- On third-party benchmarks, on the results both models have: Qwen3.7-Max does better for reasoning and knowledge and sticking to the facts; GPT-5.6 Luna for agents and tool use.
Head to head
Every fact side by side
| Qwen3.7-Max | GPT-5.6 Luna | |
|---|---|---|
| Price per million tokens | $1.48 in · $4.42 out | $0.20 in · $1.20 out |
| Blended (3 in : 1 out) | $2.21 | $0.45 |
| Cheapest host, blended | – | $0.45 (Azure) |
| Cached input, per million | – | $0.020 cached input |
| Intelligence Index | 29.5 | 37.3 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | – | – |
| Context window | 1,000,000 tokens | 1,050,000 tokens |
| Released | 19 May 2026 | 9 Jul 2026 (newer) |
| Weights | Closed | 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
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 | Qwen3.7-Max | GPT-5.6 Luna |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Confirmed task success · AgentIPS effect estimate, higher is better 39 · 34 of 48 measured | -0.09arena agent | -0.03xhigh reasoning, arena agent |
| Praise over complaint · AgentIPS effect estimate, higher is better 39 · 35 of 48 measured | -0.09arena agent | -0.04xhigh reasoning, arena agent |
| Steerability · AgentIPS effect estimate, higher is better 41 · 31 of 48 measured | -0.06arena agent | 0.00xhigh reasoning, arena agent |
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 53 · 37 of 243 measured | 29.5 | 37.3max reasoning |
| GPQA Diamond% of questions, higher is better 21 · 31 of 231 measured | 92.3% | 91.1%max reasoning |
| Humanity's Last Exam% of questions, higher is better 39 · 43 of 242 measured | 40.5% | 39.5%max reasoning |
| SimpleQA Verified (Epoch AI) reported by SimpleQA Verified (Epoch AI) · 1 result | ||
| Correct answers% of questions, higher is better 18 · 42 of 76 measured | 55.8% | 41.0%max reasoning |
Show all 14 results (7 more)
| Measure | Qwen3.7-Max | GPT-5.6 Luna |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 1 result | ||
| Tool grounding · AgentIPS effect estimate, higher is better 34 · 22 of 48 measured | 0.00arena agent | 0.00xhigh reasoning, arena agent |
| Artificial Analysis reported by Artificial Analysis · 6 results | ||
| Terminal-Bench 2.1% of tasks, higher is better 33 · 22 of 130 measured | 74.5% | 80.9%max reasoning |
| Terminal-Bench 4.0% of tasks, higher is better 51 · 37 of 112 measured | 1.5% | 11.6%max reasoning |
| τ-bench banking% of tasks, higher is better 71 · 33 of 121 measured | 11.8% | 31.1%max reasoning |
| Artificial Analysis Coding Indexindex score, higher is better 34 · 24 of 131 measured | 66.0 | 71.4max reasoning |
| Long-context reasoning (AA-LCR)% of questions, higher is better 50 · 10 of 233 measured | 79.0% | 83.7%max reasoning |
| SciCode% of problems, higher is better 52 · 32 of 113 measured | 49.5% | 53.6%max reasoning |
Compare them with other models
Quick answers
Is Qwen3.7-Max better than GPT-5.6 Luna?
Pick GPT-5.6 Luna: it scores higher (Intelligence Index 37.3 against 29.5) and costs less.
Which is cheaper, Qwen3.7-Max or GPT-5.6 Luna?
GPT-5.6 Luna is cheaper: $0.45 against $2.21 per million tokens, 4.9 times less.
Which is better for agents and tool use, Qwen3.7-Max or GPT-5.6 Luna?
GPT-5.6 Luna ranks 50 of 164 models on sale for multi-step tasks with tools: support desks, coding agents, function calls, against 69 for Qwen3.7-Max.
Which is better for reasoning and knowledge, Qwen3.7-Max or GPT-5.6 Luna?
GPT-5.6 Luna ranks 37 of 198 models on sale for hard questions across science, maths and general knowledge, against 39 for Qwen3.7-Max.
Which is better for sticking to the facts, Qwen3.7-Max or GPT-5.6 Luna?
Qwen3.7-Max ranks 31 of 152 models on sale for summarising without inventing things, and factual answers, against 61 for GPT-5.6 Luna.
Which has the bigger context window, Qwen3.7-Max or GPT-5.6 Luna?
GPT-5.6 Luna: 1,050,000 tokens, against 1,000,000 for Qwen3.7-Max.
Run Qwen3.7-Max and GPT-5.6 Luna on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.