Compare / Qwen3-235B-A22B-Thinking-2507 vs Kimi K2.7 Code
Qwen3-235B-A22B-Thinking-2507 vs Kimi K2.7 Code
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 13 October 2026 (catalogue release 2026-10-13-2e2420e3c5cc). See also Alibaba vs Moonshot AI, every model from both labs.
Qwen3-235B-A22B-Thinking-2507 or Kimi K2.7 Code? The short answer
Pick Kimi K2.7 Code if quality matters most: it scores higher (Intelligence Index 25.8 against 12.7). Pick Qwen3-235B-A22B-Thinking-2507 if cost matters more: it costs 43% less per token.
- Qwen3-235B-A22B-Thinking-2507 is cheaper: $0.97 against $1.71 per million tokens, 43% less.
- Kimi K2.7 Code scores higher on the Artificial Analysis Intelligence Index: 25.8 against 12.7.
- Kimi K2.7 Code is newer: released 12 Jun 2026, against 25 Jul 2025 for Qwen3-235B-A22B-Thinking-2507.
- On third-party benchmarks, on the results both models have: Qwen3-235B-A22B-Thinking-2507 does better for sticking to the facts; Kimi K2.7 Code for agents and tool use and reasoning and knowledge.
Head to head
Every fact side by side
| Qwen3-235B-A22B-Thinking-2507 | Kimi K2.7 Code | |
|---|---|---|
| Price per million tokens | $0.30 in · $3.00 out | $0.95 in · $4.00 out |
| Blended (3 in : 1 out) | $0.97 | $1.71 |
| Cheapest host, blended | $0.75 (Alibaba) | $1.28 (StreamLake) |
| Cached input, per million | – | $0.19 cached input |
| Intelligence Index | 12.7 | 25.8 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | – | 83 |
| Context window | 131,072 tokens | 262,144 tokens |
| Released | 25 Jul 2025 | 12 Jun 2026 (newer) |
| 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 | Qwen3-235B-A22B-Thinking-2507 | Kimi K2.7 Code |
|---|---|---|
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 147 · 69 of 243 measured | 12.7 | 25.8 |
| GPQA Diamond% of questions, higher is better 114 · 47 of 231 measured | 79.0% | 89.6% |
| Humanity's Last Exam% of questions, higher is better 122 · 59 of 242 measured | 15.9% | 35.0% |
| SimpleQA Verified (Epoch AI) reported by SimpleQA Verified (Epoch AI) · 1 result | ||
| Correct answers% of questions, higher is better 44 · 47 of 76 measured | 40.4% | 36.5% |
| Vending-Bench 2 reported by Vending-Bench 2 · 1 result | ||
| Money after a yearUS dollars, higher is better 55 · 27 of 58 measured | $-11.34 | $5,083 |
Show all 14 results (9 more)
| Measure | Qwen3-235B-A22B-Thinking-2507 | Kimi K2.7 Code |
|---|---|---|
| Artificial Analysis reported by Artificial Analysis · 9 results | ||
| Terminal-Bench 2.1% of tasks, higher is better 101 · 37 of 130 measured | 12.0% | 67.4% |
| Terminal-Bench 4.0% of tasks, higher is better 66 · 52 of 112 measured | 0.0% | 1.0% |
| τ-bench banking% of tasks, higher is better 87 · 50 of 121 measured | 7.8% | 20.2% |
| Artificial Analysis Coding Indexindex score, higher is better 98 · 38 of 131 measured | 22.1 | 60.8 |
| IFBench% of instructions, higher is better 101 · 74 of 195 measured | 51.2% | 63.1% |
| Long-context reasoning (AA-LCR)% of questions, higher is better 99 · 48 of 233 measured | 72.0% | 79.3% |
| SciCode% of problems, higher is better 74 · 55 of 113 measured | 41.4% | 47.8% |
| Terminal-Bench Hard% of tasks, higher is better 116 · 22 of 190 measured | 13.6% | 44.7% |
| τ²-bench telecom% of tasks, higher is better 101 · 42 of 193 measured | 53.2% | 90.1% |
Compare them with other models
Quick answers
Is Qwen3-235B-A22B-Thinking-2507 better than Kimi K2.7 Code?
Pick Kimi K2.7 Code if quality matters most: it scores higher (Intelligence Index 25.8 against 12.7). Pick Qwen3-235B-A22B-Thinking-2507 if cost matters more: it costs 43% less per token.
Which is cheaper, Qwen3-235B-A22B-Thinking-2507 or Kimi K2.7 Code?
Qwen3-235B-A22B-Thinking-2507 is cheaper: $0.97 against $1.71 per million tokens, 43% less.
Which is better for agents and tool use, Qwen3-235B-A22B-Thinking-2507 or Kimi K2.7 Code?
Kimi K2.7 Code ranks 59 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 Kimi K2.7 Code?
Kimi K2.7 Code ranks 57 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 sticking to the facts, Qwen3-235B-A22B-Thinking-2507 or Kimi K2.7 Code?
Qwen3-235B-A22B-Thinking-2507 ranks 92 of 152 models on sale for summarising without inventing things, and factual answers, against 97 for Kimi K2.7 Code.
Which has the bigger context window, Qwen3-235B-A22B-Thinking-2507 or Kimi K2.7 Code?
Kimi K2.7 Code: 262,144 tokens, against 131,072 for Qwen3-235B-A22B-Thinking-2507.
Run Qwen3-235B-A22B-Thinking-2507 and Kimi K2.7 Code on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.