Grok 4.5 vs Qwen3 Coder Next
Updated October 21, 2026. 8 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
vs boards won of 8 shared
Decision reading
Only Grok 4.5 has a coding score, 58.6 on the Vibe Coding Index; Qwen3 Coder Next has none, so the two cannot be ranked on coding.
Qwen3 Coder Next has the edge where output tokens cost 7.5x less.
Model AGrok 4.5xAI58.6/1006 independent benchmarks$0.62 per solved taskModel BQwen3 Coder NextQwenNot benchmarkedNo coding benchmarkNo cost per solved task
- Shared results
- 8
- Grok 4.5 only
- 112
- Qwen3 Coder Next only
- 3
- Like-for-like categories
- 5 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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
Only Grok 4.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Grok 4.5
Grok 4.5 leads, 38.8 against 9.2.
Same board, both measured
Agentic work
AA Agentic Index
Grok 4.5
Grok 4.5 leads, 41.2 against 0.9.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Grok 4.5 has a GPQA Diamond result, 92.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Grok 4.5 has a MMLU Pro result, 89.2%.
Directional only
Web design
Design Arena: websites
No call
Only Grok 4.5 has a Design Arena: websites result, 1281.
Directional only
Long documents
Listed context window
Grok 4.5
Grok 4.5 takes 500K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 Coder Next
Grok 4.5 $0.0050, Qwen3 Coder Next $0.0005 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Grok 4.5 has the number, $0.62.
Directional only
At a glance
- Coding index
- Grok 4.5 58.6 from 6 benchmarks, Qwen3 Coder Next not benchmarked.
- Widest category
- Agentic work, 40.3 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Agentic Index: Grok 4.5 41.2 against Qwen3 Coder Next 0.9, 40.3 points apart on a 0 to 100 scale.
- Output price
- Grok 4.5 $6.00 against Qwen3 Coder Next $0.80 per million output tokens, 7.5x apart.
- Context window
- Grok 4.5 takes 500K tokens, Qwen3 Coder Next 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 | Grok 4.5 | Bars | Qwen3 Coder Next | Ties |
|---|---|---|---|---|
| Coding | 3 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 2 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 8 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
| Benchmark | Grok 4.5 | Qwen3 Coder Next | Leader |
|---|---|---|---|
| LiveBench coding | 94.3% | Not measured | Only Grok 4.5 measured |
| LMArena WebDev | 1553 | Not measured | Only Grok 4.5 measured |
| AA Coding Index | 72.4 | 36.2 | Grok 4.5 |
| LiveCodeBench (Vals AI) | 87.3% | Not measured | Only Grok 4.5 measured |
| SWE-bench Verified (Vals AI) | 86.6% | Not measured | Only Grok 4.5 measured |
| Terminal-Bench 4 (Vals AI) | 8.6% | Not measured | Only Grok 4.5 measured |
| Vibe Code Bench (Vals AI) | 69.0% | Not measured | Only Grok 4.5 measured |
| Code migration (Vals AI) | 36.6% | Not measured | Only Grok 4.5 measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Grok 4.5 measured |
| IOI (Vals AI) | 40.6% | Not measured | Only Grok 4.5 measured |
| Terminal-Bench 2.1 (Vals AI) | 67.8% | Not measured | Only Grok 4.5 measured |
| SkillsBench (Vals AI) | 66.0% | Not measured | Only Grok 4.5 measured |
| CyberBench (Vals AI) | 71.0% | Not measured | Only Grok 4.5 measured |
| SciCode | 55.0% | 36.2% | Grok 4.5 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 18.2% | Only Qwen3 Coder Next measured |
| FrontierCode | 42.4% | Not measured | Only Grok 4.5 measured |
| WeirdML | 46.4% | 34.4% | Grok 4.5 |
| ALE-Bench | 1309.3 | Not measured | Only Grok 4.5 measured |
| LMArena Text: coding | 1474 | Not measured | Only Grok 4.5 measured |
| LMArena Text: software and IT | 1471 | Not measured | Only Grok 4.5 measured |
| LMArena WebDev: React | 1556 | Not measured | Only Grok 4.5 measured |
| LMArena WebDev: HTML | 1567 | Not measured | Only Grok 4.5 measured |
| LMArena WebDev: from an image | 1562 | Not measured | Only Grok 4.5 measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Grok 4.5 | Qwen3 Coder Next | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.8 | 9.2 | Grok 4.5 |
| Epoch Capabilities Index | 154.1 | Not measured | Only Grok 4.5 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Grok 4.5 | Qwen3 Coder Next | Leader |
|---|---|---|---|
| AA Agentic Index | 41.2 | 0.9 | Grok 4.5 |
| Design Arena: agents building web apps | 1218 | Not measured | Only Grok 4.5 measured |
| Design Arena: agents building full-stack apps | 1249 | Not measured | Only Grok 4.5 measured |
| Design Arena: agents building mobile apps | 1221 | Not measured | Only Grok 4.5 measured |
| Design Arena: agents building Android apps | 1242 | Not measured | Only Grok 4.5 measured |
| Design Arena: agents building Godot games | 1229 | Not measured | Only Grok 4.5 measured |
| Design Arena: agents building games | 1236 | Not measured | Only Grok 4.5 measured |
| Design Arena: HTML slides | 1204 | Not measured | Only Grok 4.5 measured |
| Design Arena: PowerPoint slides | 1233 | Not measured | Only Grok 4.5 measured |
| LiveBench research | 85.9% | Not measured | Only Grok 4.5 measured |
| LiveBench browser | 44.0% | Not measured | Only Grok 4.5 measured |
| LiveBench long agentic | 27.9% | Not measured | Only Grok 4.5 measured |
| SREBench (Vals AI) | 0.8% | Not measured | Only Grok 4.5 measured |
| Finance Agent (Vals AI) | 48.4% | Not measured | Only Grok 4.5 measured |
| Tax Agent Bench (Vals AI) | 24.9% | Not measured | Only Grok 4.5 measured |
| Legal Research Bench (Vals AI) | 38.0% | Not measured | Only Grok 4.5 measured |
| Excel Modeling Benchmark (Vals AI) | 52.9% | Not measured | Only Grok 4.5 measured |
| Time Horizon Index (Vals AI) | 6.3% | Not measured | Only Grok 4.5 measured |
| τ²-Bench Telecom | Not measured | 79.5% | Only Qwen3 Coder Next measured |
| APEX-Agents | 56.2% | Not measured | Only Grok 4.5 measured |
| PostTrainBench | 23.4% | Not measured | Only Grok 4.5 measured |
| Vending-Bench 2 | $3,887 | Not measured | Only Grok 4.5 measured |
| LMArena Search | 1216 | Not measured | Only Grok 4.5 measured |
| Neither model has a result on the other 16 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Grok 4.5 | Qwen3 Coder Next | Leader |
|---|---|---|---|
| GPQA Diamond | 92.9% | Not measured | Only Grok 4.5 measured |
| LiveBench reasoning | 87.2% | Not measured | Only Grok 4.5 measured |
| MMMU Pro (Vals AI) | 61.8% | Not measured | Only Grok 4.5 measured |
| GPQA Diamond (Artificial Analysis run) | 93.1% | 73.7% | Grok 4.5 |
| Humanity's Last Exam (Artificial Analysis run) | 42.7% | 10.1% | Grok 4.5 |
| GPQA Diamond (Epoch AI run) | 93.4% | Not measured | Only Grok 4.5 measured |
| ARC-AGI | 87.2% | Not measured | Only Grok 4.5 measured |
| ARC-AGI-2 | 52.6% | Not measured | Only Grok 4.5 measured |
| SimpleBench | 70.0% | Not measured | Only Grok 4.5 measured |
| Chess puzzles | 35.0% | Not measured | Only Grok 4.5 measured |
| LMArena Text: hard prompts | 1462 | Not measured | Only Grok 4.5 measured |
| LMArena Text: expert | 1465 | Not measured | Only Grok 4.5 measured |
| LMArena Text: hard prompts in English | 1464 | Not measured | Only Grok 4.5 measured |
| LMArena Vision: diagrams | 1304 | Not measured | Only Grok 4.5 measured |
| LMArena Vision: homework | 1295 | Not measured | Only Grok 4.5 measured |
| Neither model has a result on the other 6 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Grok 4.5 | Qwen3 Coder Next | Leader |
|---|---|---|---|
| OTIS Mock AIME | 97.8% | Not measured | Only Grok 4.5 measured |
| FrontierMath, tiers 1 to 3 | 57.2% | Not measured | Only Grok 4.5 measured |
| FrontierMath, tier 4 | 24.4% | Not measured | Only Grok 4.5 measured |
| ProofBench | 31.0% | Not measured | Only Grok 4.5 measured |
| LMArena Text: math | 1460 | Not measured | Only Grok 4.5 measured |
| LMArena Text: mathematical work | 1482 | Not measured | Only Grok 4.5 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
| Benchmark | Grok 4.5 | Qwen3 Coder Next | Leader |
|---|---|---|---|
| MMLU Pro | 89.2% | Not measured | Only Grok 4.5 measured |
| LegalBench (Vals AI) | 86.0% | Not measured | Only Grok 4.5 measured |
| CorpFin (Vals AI) | 67.4% | Not measured | Only Grok 4.5 measured |
| TaxEval (Vals AI) | 71.7% | Not measured | Only Grok 4.5 measured |
| MortgageTax (Vals AI) | 61.8% | Not measured | Only Grok 4.5 measured |
| MedCode (Vals AI) | 43.3% | Not measured | Only Grok 4.5 measured |
| SimpleQA Verified | 48.3% | Not measured | Only Grok 4.5 measured |
| LMArena Text: science | 1464 | Not measured | Only Grok 4.5 measured |
| LMArena Text: medicine and healthcare | 1440 | Not measured | Only Grok 4.5 measured |
| LMArena Text: legal and government | 1463 | Not measured | Only Grok 4.5 measured |
| LMArena Text: business and finance | 1441 | Not measured | Only Grok 4.5 measured |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Grok 4.5 | Qwen3 Coder Next | Leader |
|---|---|---|---|
| Design Arena: websites | 1281 | Not measured | Only Grok 4.5 measured |
| Design Arena: UI components | 1279 | Not measured | Only Grok 4.5 measured |
| Design Arena: game dev | 1263 | Not measured | Only Grok 4.5 measured |
| Design Arena: data viz | 1266 | Not measured | Only Grok 4.5 measured |
| Design Arena: 3D | 1257 | Not measured | Only Grok 4.5 measured |
| Design Arena: all code categories | 1275 | Not measured | Only Grok 4.5 measured |
| Design Arena: SVG | 1215 | Not measured | Only Grok 4.5 measured |
| Design Arena: ASCII art | 1257 | Not measured | Only Grok 4.5 measured |
| LiveBench design | 78.1% | Not measured | Only Grok 4.5 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Grok 4.5 | Qwen3 Coder Next | Leader |
|---|---|---|---|
| LiveBench data analysis | 73.0% | Not measured | Only Grok 4.5 measured |
| SAGE (Vals AI) | 35.0% | Not measured | Only Grok 4.5 measured |
| MedScribe (Vals AI) | 86.9% | Not measured | Only Grok 4.5 measured |
| Vals Multimodal Index | 63.4% | Not measured | Only Grok 4.5 measured |
| IFBench | Not measured | 35.2% | Only Qwen3 Coder Next measured |
| Long context reasoning (AA-LCR) | 79.3% | 47.0% | Grok 4.5 |
| DTBench | 96.5% | Not measured | Only Grok 4.5 measured |
| LMCA | 45.2% | Not measured | Only Grok 4.5 measured |
| Surface Evolver Bench | 74.4% | Not measured | Only Grok 4.5 measured |
| Furniture assembly | 22.5% | Not measured | Only Grok 4.5 measured |
| LMArena Text | 1448 | Not measured | Only Grok 4.5 measured |
| LMArena Text: instruction following | 1445 | Not measured | Only Grok 4.5 measured |
| LMArena Text: creative writing | 1442 | Not measured | Only Grok 4.5 measured |
| LMArena Vision | 1287 | Not measured | Only Grok 4.5 measured |
| LMArena Text: English | 1453 | Not measured | Only Grok 4.5 measured |
| LMArena Text: non-English | 1440 | Not measured | Only Grok 4.5 measured |
| LMArena Text: Chinese | 1495 | Not measured | Only Grok 4.5 measured |
| LMArena Text: German | 1448 | Not measured | Only Grok 4.5 measured |
| LMArena Text: Japanese | 1430 | Not measured | Only Grok 4.5 measured |
| LMArena Text: Korean | 1406 | Not measured | Only Grok 4.5 measured |
| LMArena Text: French | 1457 | Not measured | Only Grok 4.5 measured |
| LMArena Text: Spanish | 1451 | Not measured | Only Grok 4.5 measured |
| LMArena Text: Russian | 1449 | Not measured | Only Grok 4.5 measured |
| LMArena Text: Polish | 1432 | Not measured | Only Grok 4.5 measured |
| LMArena Text: multi-turn | 1456 | Not measured | Only Grok 4.5 measured |
| LMArena Text: longer queries | 1462 | Not measured | Only Grok 4.5 measured |
| LMArena Text: writing and language | 1445 | Not measured | Only Grok 4.5 measured |
| LMArena Text: entertainment and media | 1434 | Not measured | Only Grok 4.5 measured |
| LMArena Vision: English | 1285 | Not measured | Only Grok 4.5 measured |
| LMArena Vision: Chinese | 1345 | Not measured | Only Grok 4.5 measured |
| LMArena Vision: reading text | 1293 | Not measured | Only Grok 4.5 measured |
| LMArena Vision: humor | 1276 | Not measured | Only Grok 4.5 measured |
| LMArena Vision: creative writing | 1293 | Not measured | Only Grok 4.5 measured |
| LMArena Document | 1452 | Not measured | Only Grok 4.5 measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.5 | Qwen3 Coder Next | 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
Grok 4.5$0.0050Fits in one request
Qwen3 Coder Next$0.0005Fits in one request
Qwen3 Coder Next costs less
Repository review
50K input + 3K output tokens
Grok 4.5$0.118Fits in one request
Qwen3 Coder Next$0.0084Fits in one request
Qwen3 Coder Next costs less
Agent loop
200K input + 10K output tokens
Grok 4.5$0.460Fits in one request
Qwen3 Coder Next$0.032Fits in one request
Qwen3 Coder Next 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 | SpaceXAI Grok 4.5 | Qwen3 Coder Next |
|---|---|---|
| Maker | xAI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | July 8, 2026 | February 4, 2026 |
| Context window | 500K | 262K |
| Input $/Mtok | $2.00 | $0.12 |
| Output $/Mtok | $6.00 | $0.80 |
| Coding index | 58.6 | Not benchmarked |
| Independent measurements behind it | 6 | 0 |
| Cost per solved task | $0.62 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.5 better than Qwen3 Coder Next for coding?
Only Grok 4.5 has a coding score, 58.6 on the Vibe Coding Index; Qwen3 Coder Next has none, so the two cannot be ranked on coding. Qwen3 Coder Next has the edge where output tokens cost 7.5x less.
Which is cheaper, Grok 4.5 or Qwen3 Coder Next?
Grok 4.5 costs $2.00 per million input tokens and $6.00 per million output tokens; Qwen3 Coder Next costs $0.12 and $0.80. Cost per solved task is known for Grok 4.5 only.
Which has the bigger context window, Grok 4.5 or Qwen3 Coder Next?
Grok 4.5, with 500K tokens against 262K.
How many benchmarks is the Grok 4.5 vs Qwen3 Coder Next comparison based on?
8 benchmarks have a result for both models as of October 21, 2026. Grok 4.5's coding index rests on 6 independent benchmarks and Qwen3 Coder Next's on 0. Where only one model has a result, the page says so instead of naming a winner.