o4 Mini vs Qwen3 VL 8B Instruct
o4 Mini leads Qwen3 VL 8B Instruct on the Artificial Analysis Intelligence Index, 16.7 to 7.3, and Qwen3 VL 8B Instruct costs 5.9x less per output token ($0.75 vs $4.40 per million). Updated October 21, 2026; 11 benchmarks have a result for both.
o4 Mini or Qwen3 VL 8B Instruct: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
- Shared results
- 11
- o4 Mini only
- 87
- Qwen3 VL 8B Instruct only
- 0
- Like-for-like categories
- 7 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
o4 Mini
o4 Mini leads, 16.7 against 7.3.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only o4 Mini has a GPQA Diamond result, 74.5%.
Directional only
Math
AIME
No call
Only o4 Mini has a AIME result, 83.7%.
Directional only
Knowledge
MMLU Pro
No call
Only o4 Mini has a MMLU Pro result, 80.6%.
Directional only
Web design
Design Arena: websites
No call
Only o4 Mini has a Design Arena: websites result, 985.
Directional only
Long documents
Listed context window
Qwen3 VL 8B Instruct
Qwen3 VL 8B Instruct takes 262K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 VL 8B Instruct
o4 Mini $0.0033, Qwen3 VL 8B Instruct $0.0006 per turn.
List prices
At a glance
- Coding index
- o4 Mini not benchmarked, Qwen3 VL 8B Instruct not benchmarked.
- Widest category
- Math, 60.0 points apart on average over 2 shared benchmarks.
- Widest single gap
- AA Math Index: o4 Mini 90.7 against Qwen3 VL 8B Instruct 30.7, 60.0 points apart on a 0 to 100 scale.
- Output price
- o4 Mini $4.40 against Qwen3 VL 8B Instruct $0.75 per million output tokens, 5.9x apart.
- Context window
- o4 Mini takes 200K tokens, Qwen3 VL 8B Instruct 262K.
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 | o4 Mini | Bars | Qwen3 VL 8B Instruct | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 2 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 1 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 11 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | o4 Mini | Qwen3 VL 8B Instruct | Leader |
|---|---|---|---|
| Aider polyglot | 72.0% | Not measured | Only o4 Mini measured |
| SWE-bench Verified | 64.6% | Not measured | Only o4 Mini measured |
| SWE-bench Multimodal | 33.9% | Not measured | Only o4 Mini measured |
| LiveCodeBench (Vals AI) | 82.2% | Not measured | Only o4 Mini measured |
| LiveCodeBench (Artificial Analysis run) | 85.9% | 35.3% | o4 Mini |
| Terminal-Bench Hard (Artificial Analysis run) | 15.2% | 3.8% | o4 Mini |
| GSO-Bench | 3.6% | Not measured | Only o4 Mini measured |
| WeirdML | 52.6% | Not measured | Only o4 Mini measured |
| LMArena Text: coding | 1368 | Not measured | Only o4 Mini measured |
| LMArena Text: software and IT | 1367 | Not measured | Only o4 Mini measured |
| SciCode | 10.8% | Not measured | Only o4 Mini measured |
| Neither model has a result on the other 28 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | o4 Mini | Qwen3 VL 8B Instruct | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.7 | 7.3 | o4 Mini |
| Epoch Capabilities Index | 145.5 | Not measured | Only o4 Mini measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | o4 Mini | Qwen3 VL 8B Instruct | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 55.6% | 29.2% | o4 Mini |
| METR time horizons | 63.9% | Not measured | Only o4 Mini measured |
| Berkeley Function Calling Leaderboard (BFCL) | 53.2% | Not measured | Only o4 Mini measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | o4 Mini | Qwen3 VL 8B Instruct | Leader |
|---|---|---|---|
| GPQA Diamond | 74.5% | Not measured | Only o4 Mini measured |
| MMMU Pro (Vals AI) | 79.7% | Not measured | Only o4 Mini measured |
| GPQA Diamond (Artificial Analysis run) | 78.4% | 57.9% | o4 Mini |
| Humanity's Last Exam (Artificial Analysis run) | 16.5% | 3.8% | o4 Mini |
| GPQA Diamond (Epoch AI run) | 79.6% | Not measured | Only o4 Mini measured |
| ARC-AGI | 58.7% | Not measured | Only o4 Mini measured |
| ARC-AGI-2 | 6.1% | Not measured | Only o4 Mini measured |
| SimpleBench | 38.7% | Not measured | Only o4 Mini measured |
| Chess puzzles | 22.0% | Not measured | Only o4 Mini measured |
| Mystery game puzzles | 5.0% | Not measured | Only o4 Mini measured |
| VPCT | 57.5% | Not measured | Only o4 Mini measured |
| LMArena Text: hard prompts | 1351 | Not measured | Only o4 Mini measured |
| LMArena Text: expert | 1343 | Not measured | Only o4 Mini measured |
| LMArena Text: hard prompts in English | 1366 | Not measured | Only o4 Mini measured |
| LMArena Vision: diagrams | 1197 | Not measured | Only o4 Mini measured |
| LMArena Vision: homework | 1234 | Not measured | Only o4 Mini measured |
| Kagi LLM Benchmark | 67.6% | Not measured | Only o4 Mini measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | o4 Mini | Qwen3 VL 8B Instruct | Leader |
|---|---|---|---|
| AIME | 83.7% | Not measured | Only o4 Mini measured |
| MATH 500 (Vals AI) | 94.2% | Not measured | Only o4 Mini measured |
| MGSM (Vals AI) | 93.4% | Not measured | Only o4 Mini measured |
| AA Math Index | 90.7 | 30.7 | o4 Mini |
| AIME 2025 (Artificial Analysis run) | 90.7% | 30.7% | o4 Mini |
| OTIS Mock AIME | 81.7% | Not measured | Only o4 Mini measured |
| FrontierMath, tiers 1 to 3 | 36.1% | Not measured | Only o4 Mini measured |
| FrontierMath, tier 4 | 4.9% | Not measured | Only o4 Mini measured |
| MATH level 5 | 97.8% | Not measured | Only o4 Mini measured |
| LMArena Text: math | 1389 | Not measured | Only o4 Mini measured |
| LMArena Text: mathematical work | 1379 | Not measured | Only o4 Mini measured |
| Neither model has a result on the other 2 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | o4 Mini | Qwen3 VL 8B Instruct | Leader |
|---|---|---|---|
| MMLU Pro | 80.6% | Not measured | Only o4 Mini measured |
| LegalBench (Vals AI) | 79.2% | Not measured | Only o4 Mini measured |
| CorpFin (Vals AI) | 59.0% | Not measured | Only o4 Mini measured |
| TaxEval (Vals AI) | 74.8% | Not measured | Only o4 Mini measured |
| MortgageTax (Vals AI) | 64.8% | Not measured | Only o4 Mini measured |
| MedQA (Vals AI) | 96.0% | Not measured | Only o4 Mini measured |
| MedCode (Vals AI) | 33.8% | Not measured | Only o4 Mini measured |
| MMLU Pro (Artificial Analysis run) | 83.2% | 74.9% | o4 Mini |
| SimpleQA Verified | 19.6% | Not measured | Only o4 Mini measured |
| GeoBench | 64.0% | Not measured | Only o4 Mini measured |
| LMArena Text: science | 1354 | Not measured | Only o4 Mini measured |
| LMArena Text: medicine and healthcare | 1361 | Not measured | Only o4 Mini measured |
| LMArena Text: legal and government | 1350 | Not measured | Only o4 Mini measured |
| LMArena Text: business and finance | 1325 | Not measured | Only o4 Mini measured |
| FACTS Benchmark Suite | 28.1% | Not measured | Only o4 Mini measured |
| Neither model has a result on the other 3 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | o4 Mini | Qwen3 VL 8B Instruct | Leader |
|---|---|---|---|
| Design Arena: websites | 985 | Not measured | Only o4 Mini measured |
| Design Arena: UI components | 983 | Not measured | Only o4 Mini measured |
| Design Arena: game dev | 1003 | Not measured | Only o4 Mini measured |
| Design Arena: data viz | 990 | Not measured | Only o4 Mini measured |
| Design Arena: 3D | 854 | Not measured | Only o4 Mini measured |
| Design Arena: all code categories | 976 | Not measured | Only o4 Mini measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | o4 Mini | Qwen3 VL 8B Instruct | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 41.1% | Not measured | Only o4 Mini measured |
| MedScribe (Vals AI) | 69.1% | Not measured | Only o4 Mini measured |
| IFBench | 68.7% | 39.9% | o4 Mini |
| Long context reasoning (AA-LCR) | 61.0% | 33.3% | o4 Mini |
| DTBench | 77.6% | Not measured | Only o4 Mini measured |
| LMCA | 26.5% | Not measured | Only o4 Mini measured |
| Fiction.LiveBench | 77.8% | Not measured | Only o4 Mini measured |
| Creative writing (Lech Mazur) | 75.0% | Not measured | Only o4 Mini measured |
| LMArena Text | 1353 | Not measured | Only o4 Mini measured |
| LMArena Text: instruction following | 1320 | Not measured | Only o4 Mini measured |
| LMArena Text: creative writing | 1294 | Not measured | Only o4 Mini measured |
| LMArena Vision | 1194 | Not measured | Only o4 Mini measured |
| LMArena Text: English | 1367 | Not measured | Only o4 Mini measured |
| LMArena Text: non-English | 1337 | Not measured | Only o4 Mini measured |
| LMArena Text: Chinese | 1354 | Not measured | Only o4 Mini measured |
| LMArena Text: German | 1336 | Not measured | Only o4 Mini measured |
| LMArena Text: Japanese | 1308 | Not measured | Only o4 Mini measured |
| LMArena Text: Korean | 1312 | Not measured | Only o4 Mini measured |
| LMArena Text: French | 1364 | Not measured | Only o4 Mini measured |
| LMArena Text: Spanish | 1346 | Not measured | Only o4 Mini measured |
| LMArena Text: Russian | 1334 | Not measured | Only o4 Mini measured |
| LMArena Text: Polish | 1358 | Not measured | Only o4 Mini measured |
| LMArena Text: multi-turn | 1350 | Not measured | Only o4 Mini measured |
| LMArena Text: longer queries | 1315 | Not measured | Only o4 Mini measured |
| LMArena Text: writing and language | 1316 | Not measured | Only o4 Mini measured |
| LMArena Text: entertainment and media | 1308 | Not measured | Only o4 Mini measured |
| LMArena Vision: English | 1200 | Not measured | Only o4 Mini measured |
| LMArena Vision: Chinese | 1218 | Not measured | Only o4 Mini measured |
| LMArena Vision: reading text | 1197 | Not measured | Only o4 Mini measured |
| LMArena Vision: humor | 1199 | Not measured | Only o4 Mini measured |
| LMArena Vision: captioning | 1204 | Not measured | Only o4 Mini measured |
| LMArena Vision: recognizing things | 1218 | Not measured | Only o4 Mini measured |
| LMArena Vision: creative writing | 1166 | Not measured | Only o4 Mini 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 | o4 Mini | Qwen3 VL 8B Instruct | 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
Qwen3 VL 8B Instruct costs less
Repository review
50K input + 3K output tokens
Qwen3 VL 8B Instruct costs less
Agent loop
200K input + 10K output tokens
Qwen3 VL 8B Instruct 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 o4 Mini | Qwen3 VL 8B Instruct |
|---|---|---|
| Maker | OpenAI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | April 16, 2025 | October 14, 2025 |
| Context window | 200K | 262K |
| Input $/Mtok | $1.10 | $0.25 |
| Output $/Mtok | $4.40 | $0.75 |
| 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 o4 Mini better than Qwen3 VL 8B Instruct for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, o4 Mini or Qwen3 VL 8B Instruct?
o4 Mini costs $1.10 per million input tokens and $4.40 per million output tokens; Qwen3 VL 8B Instruct costs $0.25 and $0.75. Cost per solved task is known for neither of them.
Which has the bigger context window, o4 Mini or Qwen3 VL 8B Instruct?
Qwen3 VL 8B Instruct, with 262K tokens against 200K.
How many benchmarks is the o4 Mini vs Qwen3 VL 8B Instruct comparison based on?
11 benchmarks have a result for both models as of October 21, 2026. o4 Mini's coding index rests on 0 independent benchmarks and Qwen3 VL 8B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.