Compare / Qwen3-235B-A22B-Instruct-2507 vs Gemma 4 26B A4B
Qwen3-235B-A22B-Instruct-2507 vs Gemma 4 26B A4B
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 Google, every model from both labs.
Qwen3-235B-A22B-Instruct-2507 or Gemma 4 26B A4B? The short answer
Pick Gemma 4 26B A4B: it scores higher (Intelligence Index 16.7 against 12.0) and costs less.
- Gemma 4 26B A4B is cheaper: $0.15 against $0.30 per million tokens, 50% less.
- Gemma 4 26B A4B scores higher on the Artificial Analysis Intelligence Index: 16.7 against 12.0.
- Gemma 4 26B A4B is newer: released 2 Apr 2026, against 21 Jul 2025 for Qwen3-235B-A22B-Instruct-2507.
- On third-party benchmarks, on the results both models have: Gemma 4 26B A4B does better for reasoning and knowledge and sticking to the facts.
Head to head
Every fact side by side
| Qwen3-235B-A22B-Instruct-2507 | Gemma 4 26B A4B | |
|---|---|---|
| Price per million tokens | $0.15 in · $0.75 out | $0.10 in · $0.30 out |
| Blended (3 in : 1 out) | $0.30 | $0.15 |
| Cheapest host, blended | $0.15 (GMICloud, FP8) | $0.086 (Darkbloom) |
| Intelligence Index | 12.0 | 16.7 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | – | 91 |
| Context window | 262,144 tokens | 262,144 tokens |
| Released | 21 Jul 2025 | 2 Apr 2026 (newer) |
| Weights | Open | Open |
| 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.
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-Instruct-2507 | Gemma 4 26B A4B |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Overall · TextArena rating, higher is better 109 · 87 of 387 measured | 1,422 | 1,437 |
| Overall · Text factualityArena rating, higher is better 94 · 71 of 163 measured | 1,431 | 1,445 |
| Business, management and finance · TextArena rating, higher is better 97 · 78 of 380 measured | 1,432 | 1,444 |
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 153 · 117 of 243 measured | 12.0 | 16.7 |
| GPQA Diamond% of questions, higher is better 136 · 112 of 231 measured | 75.3% | 79.2% |
| Humanity's Last Exam% of questions, higher is better 144 · 111 of 242 measured | 11.1% | 19.3% |
| UGI Leaderboard reported by UGI Leaderboard · 3 results | ||
| Writing score · UGIscore out of 100, higher is better 80 · 92 of 230 measured | 49.0 | 43.8channel-thought-prefill reasoning |
| Requested-length error · UGI% off the requested word count, lower is better 69 · 25 of 230 measured | 15.0% | 8.0% |
| Style adherence · UGIscore from 0 to 1, higher is better 64 · 93 of 230 measured | 0.36 | 0.35channel-thought-prefill reasoning |
Show all 17 results (8 more)
| Measure | Qwen3-235B-A22B-Instruct-2507 | Gemma 4 26B A4B |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 4 results | ||
| Creative writing · TextArena rating, higher is better 122 · 96 of 385 measured | 1,378 | 1,400 |
| Expert prompts · TextArena rating, higher is better 103 · 71 of 338 measured | 1,447 | 1,475 |
| Instruction following · TextArena rating, higher is better 104 · 71 of 387 measured | 1,414 | 1,437 |
| Writing, literature and language · TextArena rating, higher is better 115 · 97 of 386 measured | 1,396 | 1,406 |
| Artificial Analysis reported by Artificial Analysis · 4 results | ||
| IFBench% of instructions, higher is better 113 · 40 of 195 measured | 46.1% | 72.4% |
| Long-context reasoning (AA-LCR)% of questions, higher is better 177 · 123 of 233 measured | 33.9% | 65.7% |
| Terminal-Bench Hard% of tasks, higher is better 110 · 78 of 190 measured | 15.2% | 25.0%no reasoning |
| τ²-bench telecom% of tasks, higher is better 127 · 110 of 193 measured | 33.3% | 43.6% |
Compare them with other models
Quick answers
Is Qwen3-235B-A22B-Instruct-2507 better than Gemma 4 26B A4B?
Pick Gemma 4 26B A4B: it scores higher (Intelligence Index 16.7 against 12.0) and costs less.
Which is cheaper, Qwen3-235B-A22B-Instruct-2507 or Gemma 4 26B A4B?
Gemma 4 26B A4B is cheaper: $0.15 against $0.30 per million tokens, 50% less.
Which is better for agents and tool use, Qwen3-235B-A22B-Instruct-2507 or Gemma 4 26B A4B?
Qwen3-235B-A22B-Instruct-2507 ranks 51 of 164 models on sale for multi-step tasks with tools: support desks, coding agents, function calls, against 94 for Gemma 4 26B A4B.
Which is better for reasoning and knowledge, Qwen3-235B-A22B-Instruct-2507 or Gemma 4 26B A4B?
Gemma 4 26B A4B ranks 104 of 198 models on sale for hard questions across science, maths and general knowledge, against 129 for Qwen3-235B-A22B-Instruct-2507.
Which is better for writing, Qwen3-235B-A22B-Instruct-2507 or Gemma 4 26B A4B?
Gemma 4 26B A4B ranks 83 of 188 models on sale for what people prefer in blind comparisons, and judged writing quality, against 85 for Qwen3-235B-A22B-Instruct-2507.
Which is better for sticking to the facts, Qwen3-235B-A22B-Instruct-2507 or Gemma 4 26B A4B?
Gemma 4 26B A4B ranks 41 of 152 models on sale for summarising without inventing things, and factual answers, against 98 for Qwen3-235B-A22B-Instruct-2507.
Run Qwen3-235B-A22B-Instruct-2507 and Gemma 4 26B A4B on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.