GPT-4o-mini (2024-07-18) vs Qwen3 235B A22B Thinking 2507
GPT-4o-mini (2024-07-18) costs 5.8x less per output token than Qwen3 235B A22B Thinking 2507 ($0.60 vs $3.50 per million). Updated October 23, 2026; 33 benchmarks have a result for both.
GPT-4o-mini (2024-07-18) 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 GPT-4o-mini (2024-07-18) for output tokens 5.8x cheaper ($0.60 vs $3.50 per million) and work measured by WeirdML or LMArena Text: coding, where it leads.
- Shared results
- 33
- GPT-4o-mini (2024-07-18) only
- 13
- Qwen3 235B A22B Thinking 2507 only
- 13
- Like-for-like categories
- 5 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
No call
Only Qwen3 235B A22B Thinking 2507 has a AA Intelligence Index result, 12.7.
Directional only
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
No call
Only Qwen3 235B A22B Thinking 2507 has a Design Arena: websites result, 1052.
Directional only
Long documents
Listed context window
No call
Both take 128K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-4o-mini (2024-07-18)
GPT-4o-mini (2024-07-18) $0.0004, Qwen3 235B A22B Thinking 2507 $0.0022 per turn.
List prices
At a glance
- Coding index
- GPT-4o-mini (2024-07-18) not benchmarked, Qwen3 235B A22B Thinking 2507 not benchmarked.
- Widest category
- Math, 43.7 points apart on average over 3 shared benchmarks.
- Widest single gap
- OTIS Mock AIME: GPT-4o-mini (2024-07-18) 6.9% against Qwen3 235B A22B Thinking 2507 86.7%, 79.7 points apart on a 0 to 100 scale.
- Output price
- GPT-4o-mini (2024-07-18) $0.60 against Qwen3 235B A22B Thinking 2507 $3.50 per million output tokens, 5.8x apart.
- Context window
- Both take 128K tokens.
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 | GPT-4o-mini (2024-07-18) | Bars | Qwen3 235B A22B Thinking 2507 | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Reasoning | 1 | 4 | ||
| Math | 0 | 3 | ||
| Knowledge | 0 | 5 | ||
| General | 0 | 17 | ||
| All shared boards | 1 | 32 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
| Benchmark | GPT-4o-mini (2024-07-18) | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| Aider polyglot | 3.6% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| AA Coding Index | Not measured | 22.1 | Only Qwen3 235B A22B Thinking 2507 measured |
| WeirdML | 11.8% | 41.0% | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: coding | 1289 | 1424 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: software and IT | 1291 | 1431 | Qwen3 235B A22B Thinking 2507 |
| Neither model has a result on the other 38 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | GPT-4o-mini (2024-07-18) | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 12.7 | Only Qwen3 235B A22B Thinking 2507 measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | GPT-4o-mini (2024-07-18) | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 1.3 | Only Qwen3 235B A22B Thinking 2507 measured |
| BALROG | 17.4% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| Vending-Bench 2 | Not measured | -$11 | Only Qwen3 235B A22B Thinking 2507 measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | GPT-4o-mini (2024-07-18) | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| GPQA Diamond (Epoch AI run) | 37.7% | 80.1% | Qwen3 235B A22B Thinking 2507 |
| SimpleBench | 10.7% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| Chess puzzles | 3.0% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| Mystery game puzzles | 12.0% | 9.0% | GPT-4o-mini (2024-07-18) |
| VPCT | 34.0% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text: hard prompts | 1267 | 1416 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: expert | 1235 | 1463 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: hard prompts in English | 1278 | 1432 | Qwen3 235B A22B Thinking 2507 |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | GPT-4o-mini (2024-07-18) | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 6.9% | 86.7% | Qwen3 235B A22B Thinking 2507 |
| FrontierMath, tiers 1 to 3 | 0.7% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| MATH level 5 | 52.6% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text: math | 1267 | 1412 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: mathematical work | 1271 | 1435 | Qwen3 235B A22B Thinking 2507 |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | GPT-4o-mini (2024-07-18) | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| SimpleQA Verified | 8.3% | 40.4% | Qwen3 235B A22B Thinking 2507 |
| MMLU | 76.7% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| GeoBench | 64.0% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text: science | 1286 | 1433 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: medicine and healthcare | 1282 | 1456 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: legal and government | 1305 | 1415 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: business and finance | 1265 | 1412 | Qwen3 235B A22B Thinking 2507 |
| Neither model has a result on the other 13 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | GPT-4o-mini (2024-07-18) | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1052 | Only Qwen3 235B A22B Thinking 2507 measured |
| Design Arena: UI components | Not measured | 942 | Only Qwen3 235B A22B Thinking 2507 measured |
| Design Arena: game dev | Not measured | 956 | Only Qwen3 235B A22B Thinking 2507 measured |
| Design Arena: data viz | Not measured | 950 | Only Qwen3 235B A22B Thinking 2507 measured |
| Design Arena: 3D | Not measured | 998 | Only Qwen3 235B A22B Thinking 2507 measured |
| Design Arena: all code categories | Not measured | 1032 | Only Qwen3 235B A22B Thinking 2507 measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
| Benchmark | GPT-4o-mini (2024-07-18) | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| DTBench | Not measured | 80.3% | Only Qwen3 235B A22B Thinking 2507 measured |
| LMCA | Not measured | 29.3% | Only Qwen3 235B A22B Thinking 2507 measured |
| Fiction.LiveBench | Not measured | 75.0% | Only Qwen3 235B A22B Thinking 2507 measured |
| Creative writing (Lech Mazur) | 67.2% | 82.4% | Qwen3 235B A22B Thinking 2507 |
| LMArena Text | 1286 | 1415 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: instruction following | 1258 | 1386 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: creative writing | 1268 | 1384 | Qwen3 235B A22B Thinking 2507 |
| LMArena Vision | 1066 | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text: English | 1301 | 1429 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: non-English | 1266 | 1397 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: Chinese | 1265 | 1481 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: German | 1272 | 1408 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: Japanese | 1216 | 1386 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: Korean | 1195 | 1375 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: French | 1297 | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text: Spanish | 1276 | 1389 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: Russian | 1275 | 1400 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: Polish | 1244 | 1390 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: multi-turn | 1285 | 1406 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: longer queries | 1289 | 1399 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: writing and language | 1282 | 1388 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: entertainment and media | 1253 | 1370 | Qwen3 235B A22B Thinking 2507 |
| LMArena Vision: English | 1072 | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Vision: Chinese | 1033 | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| Neither model has a result on the other 24 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4o-mini (2024-07-18) | 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
GPT-4o-mini (2024-07-18) costs less
Repository review
50K input + 3K output tokens
GPT-4o-mini (2024-07-18) costs less
Agent loop
200K input + 10K output tokens
GPT-4o-mini (2024-07-18) 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 | OpenAI GPT-4o-mini (2024-07-18) | Qwen3 235B A22B Thinking 2507 |
|---|---|---|
| Maker | OpenAI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | July 18, 2024 | July 25, 2025 |
| Context window | 128K | 128K |
| Input $/Mtok | $0.15 | $0.45 |
| Output $/Mtok | $0.60 | $3.50 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-4o-mini (2024-07-18) 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 GPT-4o-mini (2024-07-18) for output tokens 5.8x cheaper ($0.60 vs $3.50 per million) and work measured by WeirdML or LMArena Text: coding, where it leads.
Which is cheaper, GPT-4o-mini (2024-07-18) or Qwen3 235B A22B Thinking 2507?
GPT-4o-mini (2024-07-18) costs $0.15 per million input tokens and $0.60 per million output tokens; Qwen3 235B A22B Thinking 2507 costs $0.45 and $3.50. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-4o-mini (2024-07-18) or Qwen3 235B A22B Thinking 2507?
Neither: both take 128K tokens.
How many benchmarks is the GPT-4o-mini (2024-07-18) vs Qwen3 235B A22B Thinking 2507 comparison based on?
33 benchmarks have a result for both models as of October 23, 2026. GPT-4o-mini (2024-07-18)'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.