Grok 4.7 vs Qwen3.5-Flash
Grok 4.7 leads Qwen3.5-Flash on coding, 66.7 to 41.1 on the Vibe Coding Index, and Qwen3.5-Flash costs 23.1x less per output token ($0.26 vs $6.00 per million). Updated October 22, 2026; 44 benchmarks have a result for both.
Grok 4.7 or Qwen3.5-Flash: which to pick
Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 41.1 for Qwen3.5-Flash.
Pick Qwen3.5-Flash for output tokens 23.1x cheaper ($0.26 vs $6.00 per million) and a larger context window (1M against 500K tokens).
- Shared results
- 44
- Grok 4.7 only
- 55
- Qwen3.5-Flash only
- 11
- Like-for-like categories
- 6 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
Grok 4.7
Grok 4.7 scores 66.7 against 41.1.
5 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Grok 4.7 has a AA Intelligence Index result, 46.4.
Directional only
Reasoning
GPQA Diamond
No call
Only Qwen3.5-Flash has a GPQA Diamond result, 82.8%.
Directional only
Math
AIME
No call
Only Qwen3.5-Flash has a AIME result, 92.5%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.5-Flash has a MMLU Pro result, 84.1%.
Directional only
Web design
Design Arena: websites
No call
Only Grok 4.7 has a Design Arena: websites result, 1255.
Directional only
General
Vals Index
No call
Only Grok 4.7 has a Vals Index result, 58.6%.
Directional only
Long documents
Listed context window
Qwen3.5-Flash
Qwen3.5-Flash takes 1M tokens against 500K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5-Flash
Grok 4.7 $0.0050, Qwen3.5-Flash $0.0002 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.5-Flash has the number, $0.40.
Directional only
At a glance
- Coding index
- Grok 4.7 66.7 from 5 benchmarks, Qwen3.5-Flash 41.1 from 2 benchmarks.
- Widest category
- Coding, 34.7 points apart on average over 5 shared benchmarks.
- Widest single gap
- LMArena WebDev: React: Grok 4.7 1663 against Qwen3.5-Flash 1229, 61.8 points apart on a 0 to 100 scale.
- Output price
- Grok 4.7 $6.00 against Qwen3.5-Flash $0.26 per million output tokens, 23.1x apart.
- Context window
- Grok 4.7 takes 500K tokens, Qwen3.5-Flash 1M.
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 4.7 | Bars | Qwen3.5-Flash | Ties |
|---|---|---|---|---|
| Coding | 5 | 0 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 6 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 5 | 2 | ||
| General | 18 | 3 | ||
| All shared boards | 39 | 5 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
| Benchmark | Grok 4.7 | Qwen3.5-Flash | Leader |
|---|---|---|---|
| LiveBench coding | 84.5% | Not measured | Only Grok 4.7 measured |
| LMArena WebDev | 1637 | 1244 | Grok 4.7 |
| LiveCodeBench (Vals AI) | Not measured | 83.3% | Only Qwen3.5-Flash measured |
| SWE-bench Verified (Vals AI) | Not measured | 64.4% | Only Qwen3.5-Flash measured |
| Terminal-Bench 4 (Vals AI) | 28.8% | Not measured | Only Grok 4.7 measured |
| Vibe Code Bench (Vals AI) | 86.2% | Not measured | Only Grok 4.7 measured |
| Code migration (Vals AI) | 44.8% | Not measured | Only Grok 4.7 measured |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only Grok 4.7 measured |
| IOI (Vals AI) | 57.7% | Not measured | Only Grok 4.7 measured |
| Terminal-Bench 2.1 (Vals AI) | 73.4% | Not measured | Only Grok 4.7 measured |
| SWE-bench Multimodal (Vals AI) | 42.9% | Not measured | Only Grok 4.7 measured |
| CyberBench (Vals AI) | 69.5% | Not measured | Only Grok 4.7 measured |
| SciCode | 57.8% | Not measured | Only Grok 4.7 measured |
| FrontierCode | 47.6% | Not measured | Only Grok 4.7 measured |
| FrontierSWE | 29.5% | Not measured | Only Grok 4.7 measured |
| ALE-Bench | Not measured | 265.9 | Only Qwen3.5-Flash measured |
| LMArena Text: coding | 1432 | 1412 | Grok 4.7 |
| LMArena Text: software and IT | 1421 | 1416 | Grok 4.7 |
| LMArena WebDev: React | 1663 | 1229 | Grok 4.7 |
| LMArena WebDev: HTML | 1627 | 1291 | Grok 4.7 |
| LMArena WebDev: from an image | 1586 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Grok 4.7 | Qwen3.5-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 46.4 | Not measured | Only Grok 4.7 measured |
| Epoch Capabilities Index | 154.4 | 143.5 | Grok 4.7 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
| Benchmark | Grok 4.7 | Qwen3.5-Flash | Leader |
|---|---|---|---|
| LiveBench research | 86.4% | Not measured | Only Grok 4.7 measured |
| LiveBench browser | 60.0% | Not measured | Only Grok 4.7 measured |
| LiveBench long agentic | 50.1% | Not measured | Only Grok 4.7 measured |
| SREBench (Vals AI) | 3.8% | Not measured | Only Grok 4.7 measured |
| Finance Agent (Vals AI) | 52.3% | Not measured | Only Grok 4.7 measured |
| Tax Agent Bench (Vals AI) | 34.2% | Not measured | Only Grok 4.7 measured |
| Legal Research Bench (Vals AI) | 47.1% | Not measured | Only Grok 4.7 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 18.3% | Not measured | Only Grok 4.7 measured |
| Excel Modeling Benchmark (Vals AI) | 67.0% | Not measured | Only Grok 4.7 measured |
| BioMysteryBench (Vals AI) | 69.3% | Not measured | Only Grok 4.7 measured |
| Terminal-Bench-Science (Vals AI) | 10.0% | Not measured | Only Grok 4.7 measured |
| Vals Science Index | 34.8% | Not measured | Only Grok 4.7 measured |
| Robo-bench (Vals AI) | 0.2% | Not measured | Only Grok 4.7 measured |
| APEX-Agents | 54.6% | Not measured | Only Grok 4.7 measured |
| Vending-Bench 2 | $10,537 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 26 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Grok 4.7 | Qwen3.5-Flash | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 82.8% | Only Qwen3.5-Flash measured |
| LiveBench reasoning | 82.7% | Not measured | Only Grok 4.7 measured |
| MysteryMechanism (Vals AI) | 25.2% | Not measured | Only Grok 4.7 measured |
| MMMU Pro (Vals AI) | Not measured | 81.9% | Only Qwen3.5-Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.1% | Not measured | Only Grok 4.7 measured |
| GPQA Diamond (Epoch AI run) | 92.7% | 82.3% | Grok 4.7 |
| ARC-AGI | 90.2% | Not measured | Only Grok 4.7 measured |
| ARC-AGI-2 | 61.4% | Not measured | Only Grok 4.7 measured |
| Chess puzzles | 41.0% | 14.0% | Grok 4.7 |
| Mystery game puzzles | 29.0% | 20.0% | Grok 4.7 |
| LMArena Text: hard prompts | 1415 | 1403 | Grok 4.7 |
| LMArena Text: expert | 1439 | 1407 | Grok 4.7 |
| LMArena Text: hard prompts in English | 1427 | 1409 | Grok 4.7 |
| LMArena Vision: diagrams | 1254 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: homework | 1309 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Grok 4.7 | Qwen3.5-Flash | Leader |
|---|---|---|---|
| AIME | Not measured | 92.5% | Only Qwen3.5-Flash measured |
| OTIS Mock AIME | 98.1% | 84.4% | Grok 4.7 |
| FrontierMath, tiers 1 to 3 | 53.0% | 18.2% | Grok 4.7 |
| FrontierMath, tier 4 | 17.1% | Not measured | Only Grok 4.7 measured |
| ProofBench | 26.0% | Not measured | Only Grok 4.7 measured |
| LMArena Text: math | 1414 | 1407 | Grok 4.7 |
| LMArena Text: mathematical work | 1435 | 1413 | Grok 4.7 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index52
| Benchmark | Grok 4.7 | Qwen3.5-Flash | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 84.1% | Only Qwen3.5-Flash measured |
| LegalBench (Vals AI) | 84.4% | 84.3% | Grok 4.7 |
| CaseLaw (Vals AI) | Not measured | 56.0% | Only Qwen3.5-Flash measured |
| CorpFin (Vals AI) | Not measured | 63.6% | Only Qwen3.5-Flash measured |
| TaxEval (Vals AI) | Not measured | 72.2% | Only Qwen3.5-Flash measured |
| MortgageTax (Vals AI) | Not measured | 67.4% | Only Qwen3.5-Flash measured |
| MedCode (Vals AI) | 49.5% | 33.0% | Grok 4.7 |
| SimpleQA Verified | 56.0% | 20.3% | Grok 4.7 |
| LMArena Text: science | 1419 | 1415 | Grok 4.7 |
| LMArena Text: medicine and healthcare | 1395 | 1407 | Qwen3.5-Flash |
| LMArena Text: legal and government | 1423 | 1398 | Grok 4.7 |
| LMArena Text: business and finance | 1389 | 1394 | Qwen3.5-Flash |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Grok 4.7 | Qwen3.5-Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1255 | Not measured | Only Grok 4.7 measured |
| Design Arena: UI components | 1275 | Not measured | Only Grok 4.7 measured |
| Design Arena: game dev | 1314 | Not measured | Only Grok 4.7 measured |
| Design Arena: data viz | 1238 | Not measured | Only Grok 4.7 measured |
| Design Arena: 3D | 1274 | Not measured | Only Grok 4.7 measured |
| Design Arena: all code categories | 1273 | Not measured | Only Grok 4.7 measured |
| LiveBench design | 78.0% | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index183
| Benchmark | Grok 4.7 | Qwen3.5-Flash | Leader |
|---|---|---|---|
| Vals Index | 58.6% | Not measured | Only Grok 4.7 measured |
| LiveBench data analysis | 76.9% | Not measured | Only Grok 4.7 measured |
| Public Benefits Bench (Vals AI) | 65.6% | Not measured | Only Grok 4.7 measured |
| SAGE (Vals AI) | 40.8% | 42.5% | Qwen3.5-Flash |
| MedScribe (Vals AI) | 89.4% | 70.6% | Grok 4.7 |
| Long context reasoning (AA-LCR) | 80.0% | Not measured | Only Grok 4.7 measured |
| DTBench | 96.0% | 82.9% | Grok 4.7 |
| LMCA | 49.4% | 29.1% | Grok 4.7 |
| Furniture assembly | 20.8% | Not measured | Only Grok 4.7 measured |
| LMArena Text | 1399 | 1397 | Grok 4.7 |
| LMArena Text: instruction following | 1406 | 1374 | Grok 4.7 |
| LMArena Text: creative writing | 1381 | 1343 | Grok 4.7 |
| LMArena Vision | 1231 | Not measured | Only Grok 4.7 measured |
| LMArena Text: English | 1411 | 1404 | Grok 4.7 |
| LMArena Text: non-English | 1386 | 1385 | Grok 4.7 |
| LMArena Text: Chinese | 1449 | 1445 | Grok 4.7 |
| LMArena Text: German | 1366 | 1390 | Qwen3.5-Flash |
| LMArena Text: Japanese | 1359 | 1369 | Qwen3.5-Flash |
| LMArena Text: Korean | 1383 | 1344 | Grok 4.7 |
| LMArena Text: French | 1431 | 1413 | Grok 4.7 |
| LMArena Text: Spanish | 1406 | 1400 | Grok 4.7 |
| LMArena Text: Russian | 1399 | 1380 | Grok 4.7 |
| LMArena Text: Polish | 1420 | 1376 | Grok 4.7 |
| LMArena Text: multi-turn | 1394 | 1393 | Grok 4.7 |
| LMArena Text: longer queries | 1416 | 1392 | Grok 4.7 |
| LMArena Text: writing and language | 1394 | 1369 | Grok 4.7 |
| LMArena Text: entertainment and media | 1376 | 1347 | Grok 4.7 |
| LMArena Vision: English | 1229 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: Chinese | 1250 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: reading text | 1241 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: creative writing | 1217 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.7 | Qwen3.5-Flash | 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
Qwen3.5-Flash costs less
Repository review
50K input + 3K output tokens
Qwen3.5-Flash costs less
Agent loop
200K input + 10K output tokens
Qwen3.5-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 | SpaceXAI Grok 4.7 | Qwen3.5-Flash |
|---|---|---|
| Maker | xAI | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | September 21, 2026 | February 25, 2026 |
| Context window | 500K | 1M |
| Input $/Mtok | $2.00 | $0.065 |
| Output $/Mtok | $6.00 | $0.26 |
| Coding index | 66.7 | 41.1 |
| Independent measurements behind it | 5 | 2 |
| Cost per solved task | Not computable | $0.40 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.7 better than Qwen3.5-Flash for coding?
Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 41.1 for Qwen3.5-Flash. Pick Qwen3.5-Flash for output tokens 23.1x cheaper ($0.26 vs $6.00 per million) and a larger context window (1M against 500K tokens).
Which is cheaper, Grok 4.7 or Qwen3.5-Flash?
Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens; Qwen3.5-Flash costs $0.065 and $0.26. Cost per solved task is known for Qwen3.5-Flash only.
Which has the bigger context window, Grok 4.7 or Qwen3.5-Flash?
Qwen3.5-Flash, with 1M tokens against 500K.
How many benchmarks is the Grok 4.7 vs Qwen3.5-Flash comparison based on?
44 benchmarks have a result for both models as of October 22, 2026. Grok 4.7's coding index rests on 5 independent benchmarks and Qwen3.5-Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.