Gemini 2.5 Flash vs Qwen3 235B A22B Thinking 2507
Gemini 2.5 Flash leads Qwen3 235B A22B Thinking 2507 on the Artificial Analysis Intelligence Index, 15.5 to 12.7, and Gemini 2.5 Flash costs 1.4x less per output token ($2.50 vs $3.50 per million). Updated October 22, 2026; 37 benchmarks have a result for both.
Gemini 2.5 Flash or Qwen3 235B A22B Thinking 2507: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Gemini 2.5 Flash for output tokens 1.4x cheaper ($2.50 vs $3.50 per million) and a larger context window (1.05M against 128K tokens).
- Shared results
- 37
- Gemini 2.5 Flash only
- 36
- Qwen3 235B A22B Thinking 2507 only
- 9
- Like-for-like categories
- 8 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Gemini 2.5 Flash
Gemini 2.5 Flash leads, 15.5 against 12.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3 235B A22B Thinking 2507 has a AA Agentic Index result, 1.3.
Directional only
Web design
Design Arena: websites
Gemini 2.5 Flash
Gemini 2.5 Flash leads, 1074 against 1052.
Same board, both measured
Long documents
Listed context window
Gemini 2.5 Flash
Gemini 2.5 Flash takes 1.05M tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 2.5 Flash
Gemini 2.5 Flash $0.0015, Qwen3 235B A22B Thinking 2507 $0.0022 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 2.5 Flash has the number, $0.466.
Directional only
At a glance
- Coding index
- Gemini 2.5 Flash not benchmarked, Qwen3 235B A22B Thinking 2507 not benchmarked.
- Widest category
- Web design, 6.0 points apart on average over 6 shared benchmarks.
- Widest single gap
- Design Arena: data viz: Gemini 2.5 Flash 1060 against Qwen3 235B A22B Thinking 2507 950, 13.8 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Flash $2.50 against Qwen3 235B A22B Thinking 2507 $3.50 per million output tokens, 1.4x apart.
- Context window
- Gemini 2.5 Flash takes 1.05M tokens, Qwen3 235B A22B Thinking 2507 128K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Gemini 2.5 Flash | Bars | Qwen3 235B A22B Thinking 2507 | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 1 | 2 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 3 | ||
| Web design | 6 | 0 | ||
| General | 14 | 4 | ||
| All shared boards | 24 | 13 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
| Benchmark | Gemini 2.5 Flash | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| SWE-bench Verified | 28.7% | Not measured | Only Gemini 2.5 Flash measured |
| AA Coding Index | Not measured | 22.1 | Only Qwen3 235B A22B Thinking 2507 measured |
| LiveCodeBench (Artificial Analysis run) | 69.5% | Not measured | Only Gemini 2.5 Flash measured |
| Terminal-Bench Hard (Artificial Analysis run) | 13.6% | Not measured | Only Gemini 2.5 Flash measured |
| Terminal-Bench | 17.1% | Not measured | Only Gemini 2.5 Flash measured |
| WeirdML | Not measured | 41.0% | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: coding | 1423 | 1424 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: software and IT | 1425 | 1431 | Qwen3 235B A22B Thinking 2507 |
| Neither model has a result on the other 31 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 2.5 Flash | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| AA Intelligence Index | 15.5 | 12.7 | Gemini 2.5 Flash |
| Epoch Capabilities Index | 142.9 | Not measured | Only Gemini 2.5 Flash measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 2.5 Flash | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 1.3 | Only Qwen3 235B A22B Thinking 2507 measured |
| τ²-Bench Telecom | 31.6% | Not measured | Only Gemini 2.5 Flash measured |
| BALROG | 33.5% | Not measured | Only Gemini 2.5 Flash measured |
| Vending-Bench 2 | $549 | -$11 | Gemini 2.5 Flash |
| Berkeley Function Calling Leaderboard (BFCL) | 56.2% | Not measured | Only Gemini 2.5 Flash measured |
| BrowseComp-Plus | 39.9% | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | Gemini 2.5 Flash | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 79.0% | Not measured | Only Gemini 2.5 Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | 12.1% | Not measured | Only Gemini 2.5 Flash measured |
| GPQA Diamond (Epoch AI run) | Not measured | 80.1% | Only Qwen3 235B A22B Thinking 2507 measured |
| ARC-AGI | 33.3% | Not measured | Only Gemini 2.5 Flash measured |
| ARC-AGI-2 | 2.5% | Not measured | Only Gemini 2.5 Flash measured |
| SimpleBench | 41.2% | Not measured | Only Gemini 2.5 Flash measured |
| Mystery game puzzles | Not measured | 9.0% | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: hard prompts | 1422 | 1416 | Gemini 2.5 Flash |
| LMArena Text: expert | 1426 | 1463 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: hard prompts in English | 1420 | 1432 | Qwen3 235B A22B Thinking 2507 |
| LMArena Vision: diagrams | 1245 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: homework | 1244 | Not measured | Only Gemini 2.5 Flash measured |
| Kagi LLM Benchmark | 56.8% | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 2.5 Flash | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| AA Math Index | 73.3 | Not measured | Only Gemini 2.5 Flash measured |
| AIME 2025 (Artificial Analysis run) | 73.3% | Not measured | Only Gemini 2.5 Flash measured |
| OTIS Mock AIME | Not measured | 86.7% | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: math | 1411 | 1412 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: mathematical work | 1422 | 1435 | Qwen3 235B A22B Thinking 2507 |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | Gemini 2.5 Flash | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| MedCode (Vals AI) | 40.4% | Not measured | Only Gemini 2.5 Flash measured |
| MMLU Pro (Artificial Analysis run) | 83.2% | Not measured | Only Gemini 2.5 Flash measured |
| SimpleQA Verified | Not measured | 40.4% | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: science | 1433 | 1433 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: medicine and healthcare | 1428 | 1456 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: legal and government | 1430 | 1415 | Gemini 2.5 Flash |
| LMArena Text: business and finance | 1404 | 1413 | Qwen3 235B A22B Thinking 2507 |
| FACTS Benchmark Suite | 47.2% | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 2.5 Flash | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| Design Arena: websites | 1074 | 1052 | Gemini 2.5 Flash |
| Design Arena: UI components | 1003 | 942 | Gemini 2.5 Flash |
| Design Arena: game dev | 1004 | 956 | Gemini 2.5 Flash |
| Design Arena: data viz | 1060 | 950 | Gemini 2.5 Flash |
| Design Arena: 3D | 1020 | 997 | Gemini 2.5 Flash |
| Design Arena: all code categories | 1058 | 1032 | Gemini 2.5 Flash |
| Design Arena: SVG | 1020 | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index144
| Benchmark | Gemini 2.5 Flash | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 44.8% | Not measured | Only Gemini 2.5 Flash measured |
| MedScribe (Vals AI) | 83.0% | Not measured | Only Gemini 2.5 Flash measured |
| IFBench | 50.3% | Not measured | Only Gemini 2.5 Flash measured |
| Long context reasoning (AA-LCR) | 65.3% | Not measured | Only Gemini 2.5 Flash measured |
| DTBench | 76.5% | 80.3% | Qwen3 235B A22B Thinking 2507 |
| LMCA | 27.5% | 29.3% | Qwen3 235B A22B Thinking 2507 |
| Fiction.LiveBench | Not measured | 75.0% | Only Qwen3 235B A22B Thinking 2507 measured |
| Creative writing (Lech Mazur) | Not measured | 82.4% | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text | 1417 | 1415 | Gemini 2.5 Flash |
| LMArena Text: instruction following | 1405 | 1386 | Gemini 2.5 Flash |
| LMArena Text: creative writing | 1400 | 1384 | Gemini 2.5 Flash |
| LMArena Vision | 1235 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text: English | 1418 | 1429 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: non-English | 1409 | 1397 | Gemini 2.5 Flash |
| LMArena Text: Chinese | 1449 | 1481 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: German | 1417 | 1408 | Gemini 2.5 Flash |
| LMArena Text: Japanese | 1396 | 1386 | Gemini 2.5 Flash |
| LMArena Text: Korean | 1385 | 1375 | Gemini 2.5 Flash |
| LMArena Text: French | 1432 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text: Spanish | 1422 | 1389 | Gemini 2.5 Flash |
| LMArena Text: Russian | 1415 | 1401 | Gemini 2.5 Flash |
| LMArena Text: Polish | 1413 | 1390 | Gemini 2.5 Flash |
| LMArena Text: multi-turn | 1408 | 1406 | Gemini 2.5 Flash |
| LMArena Text: longer queries | 1419 | 1400 | Gemini 2.5 Flash |
| LMArena Text: writing and language | 1405 | 1388 | Gemini 2.5 Flash |
| LMArena Text: entertainment and media | 1393 | 1370 | Gemini 2.5 Flash |
| LMArena Vision: English | 1239 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: Chinese | 1284 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: reading text | 1237 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: humor | 1225 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: captioning | 1277 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: recognizing things | 1252 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: creative writing | 1241 | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 Flash | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Gemini 2.5 Flash costs less
Repository review
50K input + 3K output tokens
Gemini 2.5 Flash costs less
Agent loop
200K input + 10K output tokens
Gemini 2.5 Flash costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Google Gemini 2.5 Flash | Qwen3 235B A22B Thinking 2507 |
|---|---|---|
| Maker | Qwen | |
| Weights | No public weights listed | Open weights |
| Released | June 17, 2025 | July 25, 2025 |
| Context window | 1.05M | 128K |
| Input $/Mtok | $0.30 | $0.45 |
| Output $/Mtok | $2.50 | $3.50 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | $0.466 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Flash better than Qwen3 235B A22B Thinking 2507 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash for output tokens 1.4x cheaper ($2.50 vs $3.50 per million) and a larger context window (1.05M against 128K tokens).
Which is cheaper, Gemini 2.5 Flash or Qwen3 235B A22B Thinking 2507?
Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; Qwen3 235B A22B Thinking 2507 costs $0.45 and $3.50. Cost per solved task is known for Gemini 2.5 Flash only.
Which has the bigger context window, Gemini 2.5 Flash or Qwen3 235B A22B Thinking 2507?
Gemini 2.5 Flash, with 1.05M tokens against 128K.
How many benchmarks is the Gemini 2.5 Flash vs Qwen3 235B A22B Thinking 2507 comparison based on?
37 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Flash's coding index rests on 0 independent benchmarks and Qwen3 235B A22B Thinking 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.