Grok 4.5 vs Ling 3.0 Flash
Grok 4.5 leads Ling 3.0 Flash on coding, 58.6 to 29.6 on the Vibe Coding Index, and Ling 3.0 Flash costs 49.4x less per output token ($0.1215 vs $6.00 per million). Updated October 22, 2026; 23 benchmarks have a result for both.
Grok 4.5 or Ling 3.0 Flash: which to pick
Pick Grok 4.5 for coding: it scores 58.6 on the Vibe Coding Index against 29.6 for Ling 3.0 Flash.
Pick Ling 3.0 Flash for output tokens 49.4x cheaper ($0.1215 vs $6.00 per million) and a lower cost per solved task ($0.05 against $0.62).
- Shared results
- 23
- Grok 4.5 only
- 100
- Ling 3.0 Flash only
- 1
- 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 4.5
Grok 4.5 scores 58.6 against 29.6.
6 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Grok 4.5
Grok 4.5 leads, 38.8 against 20.1.
Same board, both measured
Agentic work
AA Agentic Index
Grok 4.5
Grok 4.5 leads, 41.2 against 19.3.
Same board, both measured
Reasoning
GPQA Diamond
Grok 4.5
Grok 4.5 leads, 92.9% against 84.8%.
Same board, both measured
Knowledge
MMLU Pro
Grok 4.5
Grok 4.5 leads, 89.2% against 82.0%.
Same board, both measured
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
Ling 3.0 Flash
Grok 4.5 $0.0050, Ling 3.0 Flash $0.0001 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Ling 3.0 Flash
Grok 4.5 $0.62, Ling 3.0 Flash $0.05.
Published attempt cost and pass rate
At a glance
- Coding index
- Grok 4.5 58.6 from 6 benchmarks, Ling 3.0 Flash 29.6 from 2 benchmarks.
- Widest category
- Coding, 27.2 points apart on average over 8 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Grok 4.5 69.0% against Ling 3.0 Flash 2.9%, 66.1 points apart on a 0 to 100 scale.
- Output price
- Grok 4.5 $6.00 against Ling 3.0 Flash $0.1215 per million output tokens, 49.4x apart.
- Context window
- Grok 4.5 takes 500K tokens, Ling 3.0 Flash 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 | Ling 3.0 Flash | Ties |
|---|---|---|---|---|
| Coding | 8 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 4 | 0 | ||
| Reasoning | 3 | 0 | ||
| Knowledge | 5 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 23 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
| Benchmark | Grok 4.5 | Ling 3.0 Flash | 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 | 50.6 | Grok 4.5 |
| LiveCodeBench (Vals AI) | 87.3% | 84.0% | Grok 4.5 |
| SWE-bench Verified (Vals AI) | 86.6% | 65.2% | Grok 4.5 |
| Terminal-Bench 4 (Vals AI) | 8.6% | Not measured | Only Grok 4.5 measured |
| Vibe Code Bench (Vals AI) | 69.0% | 2.9% | Grok 4.5 |
| Code migration (Vals AI) | 36.6% | 0.0% | Grok 4.5 |
| 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% | 50.2% | Grok 4.5 |
| SkillsBench (Vals AI) | 66.0% | 27.9% | Grok 4.5 |
| CyberBench (Vals AI) | 71.0% | Not measured | Only Grok 4.5 measured |
| SciCode | 55.0% | 42.0% | Grok 4.5 |
| FrontierCode | 42.4% | Not measured | Only Grok 4.5 measured |
| WeirdML | 46.4% | Not measured | Only Grok 4.5 measured |
| 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 |
| SciCode | 6.5% | Not measured | Only Grok 4.5 measured |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Grok 4.5 | Ling 3.0 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.8 | 20.1 | 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 index40
| Benchmark | Grok 4.5 | Ling 3.0 Flash | Leader |
|---|---|---|---|
| AA Agentic Index | 41.2 | 19.3 | 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 | 1220 | Not measured | Only Grok 4.5 measured |
| Design Arena: agents building Android apps | 1236 | 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 | 1205 | Not measured | Only Grok 4.5 measured |
| Design Arena: PowerPoint slides | 1230 | 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% | 30.3% | Grok 4.5 |
| Tax Agent Bench (Vals AI) | 24.9% | Not measured | Only Grok 4.5 measured |
| Legal Research Bench (Vals AI) | 38.0% | 0.0% | Grok 4.5 |
| Excel Modeling Benchmark (Vals AI) | 52.9% | 25.0% | Grok 4.5 |
| Time Horizon Index (Vals AI) | 6.3% | Not measured | Only Grok 4.5 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 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Grok 4.5 | Ling 3.0 Flash | Leader |
|---|---|---|---|
| GPQA Diamond | 92.9% | 84.8% | Grok 4.5 |
| 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% | 85.5% | Grok 4.5 |
| Humanity's Last Exam (Artificial Analysis run) | 42.7% | 23.7% | 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 |
| Kagi LLM Benchmark | 83.5% | 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 | Ling 3.0 Flash | 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 | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Grok 4.5 | Ling 3.0 Flash | Leader |
|---|---|---|---|
| MMLU Pro | 89.2% | 82.0% | Grok 4.5 |
| LegalBench (Vals AI) | 86.0% | 79.7% | Grok 4.5 |
| CorpFin (Vals AI) | 67.4% | 61.9% | Grok 4.5 |
| TaxEval (Vals AI) | 71.7% | 70.7% | Grok 4.5 |
| MortgageTax (Vals AI) | 61.8% | Not measured | Only Grok 4.5 measured |
| MedCode (Vals AI) | 43.3% | 32.3% | Grok 4.5 |
| 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 |
| FACTS Benchmark Suite | 50.2% | 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 | Ling 3.0 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1281 | Not measured | Only Grok 4.5 measured |
| Design Arena: UI components | 1280 | Not measured | Only Grok 4.5 measured |
| Design Arena: game dev | 1264 | 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 | 1256 | 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 index20
| Benchmark | Grok 4.5 | Ling 3.0 Flash | Leader |
|---|---|---|---|
| LiveBench data analysis | 73.0% | Not measured | Only Grok 4.5 measured |
| Public Benefits Bench (Vals AI) | Not measured | 50.7% | Only Ling 3.0 Flash measured |
| SAGE (Vals AI) | 35.0% | Not measured | Only Grok 4.5 measured |
| MedScribe (Vals AI) | 86.9% | 80.9% | Grok 4.5 |
| Vals Multimodal Index | 63.4% | Not measured | Only Grok 4.5 measured |
| Long context reasoning (AA-LCR) | 79.3% | 73.0% | 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 | Ling 3.0 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
Ling 3.0 Flash costs less
Repository review
50K input + 3K output tokens
Ling 3.0 Flash costs less
Agent loop
200K input + 10K output tokens
Ling 3.0 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 4.5 | inclusionAI Ling 3.0 Flash |
|---|---|---|
| Maker | xAI | inclusionAI |
| Weights | No public weights listed | Open weights |
| Released | July 8, 2026 | July 23, 2026 |
| Context window | 500K | 262K |
| Input $/Mtok | $2.00 | $0.0405 |
| Output $/Mtok | $6.00 | $0.1215 |
| Coding index | 58.6 | 29.6 |
| Independent measurements behind it | 6 | 2 |
| Cost per solved task | $0.62 | $0.05 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.5 better than Ling 3.0 Flash for coding?
Pick Grok 4.5 for coding: it scores 58.6 on the Vibe Coding Index against 29.6 for Ling 3.0 Flash. Pick Ling 3.0 Flash for output tokens 49.4x cheaper ($0.1215 vs $6.00 per million) and a lower cost per solved task ($0.05 against $0.62).
Which is cheaper, Grok 4.5 or Ling 3.0 Flash?
Grok 4.5 costs $2.00 per million input tokens and $6.00 per million output tokens; Ling 3.0 Flash costs $0.0405 and $0.1215. Per solved SWE-bench Verified task, Grok 4.5 costs $0.62 and Ling 3.0 Flash $0.05.
Which has the bigger context window, Grok 4.5 or Ling 3.0 Flash?
Grok 4.5, with 500K tokens against 262K.
How many benchmarks is the Grok 4.5 vs Ling 3.0 Flash comparison based on?
23 benchmarks have a result for both models as of October 22, 2026. Grok 4.5's coding index rests on 6 independent benchmarks and Ling 3.0 Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.