Gemini 2.5 Pro vs Inkling
Inkling leads Gemini 2.5 Pro on coding, 31.5 to 19.1 on the Vibe Coding Index, and Inkling costs 2.5x less per output token ($4.05 vs $10.00 per million). Updated October 21, 2026; 60 benchmarks have a result for both.
Gemini 2.5 Pro or Inkling: which to pick
Pick Inkling for coding: it scores 31.5 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro.
Pick Gemini 2.5 Pro for a lower cost per solved task ($0.64 against $0.76) and a larger context window (1.05M against 524K tokens).
- Shared results
- 60
- Gemini 2.5 Pro only
- 30
- Inkling only
- 42
- Like-for-like categories
- 8 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
Inkling
Inkling scores 31.5 against 19.1.
3 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Inkling
Inkling leads, 25.0 against 16.1.
Same board, both measured
Agentic work
AA Agentic Index
Inkling
Inkling leads, 22.5 against 1.6.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Inkling has a GPQA Diamond result, 87.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Inkling has a MMLU Pro result, 86.3%.
Directional only
Web design
Design Arena: websites
Inkling
Inkling leads, 1224 against 1167.
Same board, both measured
General
Vals Index
No call
Only Inkling has a Vals Index result, 29.0%.
Directional only
Long documents
Listed context window
Gemini 2.5 Pro
Gemini 2.5 Pro takes 1.05M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Inkling
Gemini 2.5 Pro $0.0063, Inkling $0.0030 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 2.5 Pro
Gemini 2.5 Pro $0.64, Inkling $0.76.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 2.5 Pro 19.1 from 3 benchmarks, Inkling 31.5 from 6 benchmarks.
- Widest category
- Agentic work, 20.9 points apart on average over 1 shared benchmark.
- Widest single gap
- ARC-AGI: Gemini 2.5 Pro 41.0% against Inkling 79.5%, 38.5 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Pro $10.00 against Inkling $4.05 per million output tokens, 2.5x apart.
- Context window
- Gemini 2.5 Pro takes 1.05M tokens, Inkling 524K.
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 | Gemini 2.5 Pro | Bars | Inkling | Ties |
|---|---|---|---|---|
| Coding | 1 | 8 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 2 | 6 | ||
| Math | 0 | 5 | ||
| Knowledge | 6 | 1 | ||
| Web design | 1 | 5 | ||
| General | 18 | 4 | ||
| All shared boards | 28 | 32 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index18
| Benchmark | Gemini 2.5 Pro | Inkling | Leader |
|---|---|---|---|
| SWE-bench Verified | 53.6% | Not measured | Only Gemini 2.5 Pro measured |
| LiveBench coding | Not measured | 64.0% | Only Inkling measured |
| LMArena WebDev | 1226 | 1414 | Inkling |
| AA Coding Index | 33.3 | 52.1 | Inkling |
| LiveCodeBench (Vals AI) | Not measured | 85.5% | Only Inkling measured |
| SWE-bench Verified (Vals AI) | 54.4% | 77.6% | Inkling |
| Terminal-Bench 4 (Vals AI) | Not measured | 0.5% | Only Inkling measured |
| Vibe Code Bench (Vals AI) | 0.4% | 19.2% | Inkling |
| Code migration (Vals AI) | Not measured | 11.8% | Only Inkling measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Inkling measured |
| IOI (Vals AI) | Not measured | 14.9% | Only Inkling measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 47.6% | Only Inkling measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 7.3% | Only Inkling measured |
| SkillsBench (Vals AI) | Not measured | 26.1% | Only Inkling measured |
| CyberBench (Vals AI) | Not measured | 66.8% | Only Inkling measured |
| LiveCodeBench (Artificial Analysis run) | 80.1% | Not measured | Only Gemini 2.5 Pro measured |
| SciCode | 46.3% | 47.0% | Inkling |
| Terminal-Bench Hard (Artificial Analysis run) | 26.5% | Not measured | Only Gemini 2.5 Pro measured |
| Terminal-Bench | 32.6% | Not measured | Only Gemini 2.5 Pro measured |
| FrontierCode | Not measured | 14.0% | Only Inkling measured |
| FrontierSWE | Not measured | 4.1% | Only Inkling measured |
| GSO-Bench | 3.9% | Not measured | Only Gemini 2.5 Pro measured |
| WeirdML | 54.0% | 32.3% | Gemini 2.5 Pro |
| ALE-Bench | Not measured | 946.0 | Only Inkling measured |
| LMArena Text: coding | 1452 | 1466 | Inkling |
| LMArena Text: software and IT | 1459 | 1465 | Inkling |
| LMArena WebDev: React | Not measured | 1404 | Only Inkling measured |
| LMArena WebDev: HTML | 1235 | 1399 | Inkling |
| LMArena WebDev: from an image | 1285 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 10 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 2.5 Pro | Inkling | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.1 | 25.0 | Inkling |
| Epoch Capabilities Index | 145.1 | 148.4 | Inkling |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 2.5 Pro | Inkling | Leader |
|---|---|---|---|
| AA Agentic Index | 1.6 | 22.5 | Inkling |
| Design Arena: agents building web apps | Not measured | 1196 | Only Inkling measured |
| LiveBench research | Not measured | 59.9% | Only Inkling measured |
| LiveBench browser | Not measured | 16.0% | Only Inkling measured |
| LiveBench long agentic | Not measured | 14.1% | Only Inkling measured |
| SREBench (Vals AI) | Not measured | 0.0% | Only Inkling measured |
| Finance Agent (Vals AI) | Not measured | 46.6% | Only Inkling measured |
| Tax Agent Bench (Vals AI) | Not measured | 15.3% | Only Inkling measured |
| Legal Research Bench (Vals AI) | Not measured | 28.4% | Only Inkling measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 3.8% | Only Inkling measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 38.4% | Only Inkling measured |
| τ²-Bench Telecom | 54.1% | Not measured | Only Gemini 2.5 Pro measured |
| APEX-Agents | Not measured | 33.8% | Only Inkling measured |
| GDPval | 23.3% | Not measured | Only Gemini 2.5 Pro measured |
| DeepResearch Bench | 41.5% | Not measured | Only Gemini 2.5 Pro measured |
| Vending-Bench 2 | $574 | Not measured | Only Gemini 2.5 Pro measured |
| BrowseComp-Plus | 29.5% | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 24 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index26
| Benchmark | Gemini 2.5 Pro | Inkling | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 87.1% | Only Inkling measured |
| LiveBench reasoning | Not measured | 78.3% | Only Inkling measured |
| MMMU Pro (Vals AI) | Not measured | 78.5% | Only Inkling measured |
| GPQA Diamond (Artificial Analysis run) | 84.4% | 87.2% | Inkling |
| Humanity's Last Exam (Artificial Analysis run) | 22.5% | 31.9% | Inkling |
| GPQA Diamond (Epoch AI run) | 85.3% | 88.3% | Inkling |
| ARC-AGI | 41.0% | 79.5% | Inkling |
| ARC-AGI-2 | 4.9% | 36.5% | Inkling |
| SimpleBench | Not measured | 50.0% | Only Inkling measured |
| Chess puzzles | Not measured | 21.0% | Only Inkling measured |
| LMArena Text: hard prompts | 1455 | 1451 | Gemini 2.5 Pro |
| LMArena Text: expert | 1452 | 1466 | Inkling |
| LMArena Text: hard prompts in English | 1453 | 1448 | Gemini 2.5 Pro |
| LMArena Vision: diagrams | 1274 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: homework | 1281 | Not measured | Only Gemini 2.5 Pro measured |
| Kagi LLM Benchmark | 70.3% | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Gemini 2.5 Pro | Inkling | Leader |
|---|---|---|---|
| AA Math Index | 87.7 | Not measured | Only Gemini 2.5 Pro measured |
| AIME 2025 (Artificial Analysis run) | 87.7% | Not measured | Only Gemini 2.5 Pro measured |
| OTIS Mock AIME | 84.7% | 88.9% | Inkling |
| FrontierMath, tiers 1 to 3 | 24.6% | 33.3% | Inkling |
| FrontierMath, tier 4 | 0.0% | 4.9% | Inkling |
| ProofBench | Not measured | 0.0% | Only Inkling measured |
| LMArena Text: math | 1450 | 1479 | Inkling |
| LMArena Text: mathematical work | 1454 | 1460 | Inkling |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index61
| Benchmark | Gemini 2.5 Pro | Inkling | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 86.3% | Only Inkling measured |
| LegalBench (Vals AI) | Not measured | 83.0% | Only Inkling measured |
| CaseLaw (Vals AI) | 63.9% | Not measured | Only Gemini 2.5 Pro measured |
| CorpFin (Vals AI) | 60.8% | 68.6% | Inkling |
| TaxEval (Vals AI) | Not measured | 75.3% | Only Inkling measured |
| MortgageTax (Vals AI) | 68.9% | 64.0% | Gemini 2.5 Pro |
| MedCode (Vals AI) | 50.6% | 41.2% | Gemini 2.5 Pro |
| MMLU Pro (Artificial Analysis run) | 86.2% | Not measured | Only Gemini 2.5 Pro measured |
| SimpleQA Verified | Not measured | 40.3% | Only Inkling measured |
| LMArena Text: science | 1480 | 1455 | Gemini 2.5 Pro |
| LMArena Text: medicine and healthcare | 1476 | 1447 | Gemini 2.5 Pro |
| LMArena Text: legal and government | 1480 | 1448 | Gemini 2.5 Pro |
| LMArena Text: business and finance | 1439 | 1438 | Gemini 2.5 Pro |
| FACTS Benchmark Suite | 61.5% | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | Gemini 2.5 Pro | Inkling | Leader |
|---|---|---|---|
| Design Arena: websites | 1167 | 1224 | Inkling |
| Design Arena: UI components | 1140 | 1201 | Inkling |
| Design Arena: game dev | 1111 | 1166 | Inkling |
| Design Arena: data viz | 1221 | 1159 | Gemini 2.5 Pro |
| Design Arena: 3D | 1081 | 1161 | Inkling |
| Design Arena: all code categories | 1152 | 1206 | Inkling |
| Design Arena: SVG | Not measured | 1110 | Only Inkling measured |
| Design Arena: ASCII art | Not measured | 1089 | Only Inkling measured |
| LiveBench design | Not measured | 58.3% | Only Inkling measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index184
| Benchmark | Gemini 2.5 Pro | Inkling | Leader |
|---|---|---|---|
| Vals Index | Not measured | 29.0% | Only Inkling measured |
| LiveBench data analysis | Not measured | 72.8% | Only Inkling measured |
| Public Benefits Bench (Vals AI) | Not measured | 58.5% | Only Inkling measured |
| SAGE (Vals AI) | 41.9% | 36.5% | Gemini 2.5 Pro |
| MedScribe (Vals AI) | 73.5% | 85.4% | Inkling |
| Vals Multimodal Index | Not measured | 49.4% | Only Inkling measured |
| IFBench | 48.7% | Not measured | Only Gemini 2.5 Pro measured |
| Long context reasoning (AA-LCR) | 69.0% | 77.3% | Inkling |
| DTBench | 82.4% | 87.5% | Inkling |
| LMCA | 34.8% | 37.6% | Inkling |
| Creative writing (Lech Mazur) | 83.8% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text | 1458 | 1442 | Gemini 2.5 Pro |
| LMArena Text: instruction following | 1437 | 1425 | Gemini 2.5 Pro |
| LMArena Text: creative writing | 1454 | 1390 | Gemini 2.5 Pro |
| LMArena Vision | 1263 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: English | 1458 | 1442 | Gemini 2.5 Pro |
| LMArena Text: non-English | 1452 | 1434 | Gemini 2.5 Pro |
| LMArena Text: Chinese | 1507 | 1493 | Gemini 2.5 Pro |
| LMArena Text: German | 1487 | 1445 | Gemini 2.5 Pro |
| LMArena Text: Japanese | 1461 | 1429 | Gemini 2.5 Pro |
| LMArena Text: Korean | 1434 | 1403 | Gemini 2.5 Pro |
| LMArena Text: French | 1473 | 1455 | Gemini 2.5 Pro |
| LMArena Text: Spanish | 1474 | 1449 | Gemini 2.5 Pro |
| LMArena Text: Russian | 1461 | 1430 | Gemini 2.5 Pro |
| LMArena Text: Polish | 1479 | 1450 | Gemini 2.5 Pro |
| LMArena Text: multi-turn | 1453 | 1437 | Gemini 2.5 Pro |
| LMArena Text: longer queries | 1449 | 1435 | Gemini 2.5 Pro |
| LMArena Text: writing and language | 1454 | 1404 | Gemini 2.5 Pro |
| LMArena Text: entertainment and media | 1441 | 1394 | Gemini 2.5 Pro |
| LMArena Vision: English | 1261 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: Chinese | 1300 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: reading text | 1270 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: humor | 1262 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: captioning | 1304 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: recognizing things | 1283 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: creative writing | 1265 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Document | 1421 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 9 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 Pro | Inkling | 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
Inkling costs less
Repository review
50K input + 3K output tokens
Inkling costs less
Agent loop
200K input + 10K output tokens
Inkling 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 | Google Gemini 2.5 Pro | Thinking Machines Inkling |
|---|---|---|
| Maker | Thinking Machines | |
| Weights | No public weights listed | Open weights |
| Released | June 17, 2025 | July 17, 2026 |
| Context window | 1.05M | 524K |
| Input $/Mtok | $1.25 | $0.975 |
| Output $/Mtok | $10.00 | $4.05 |
| Coding index | 19.1 | 31.5 |
| Independent measurements behind it | 3 | 6 |
| Cost per solved task | $0.64 | $0.76 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Pro better than Inkling for coding?
Pick Inkling for coding: it scores 31.5 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro. Pick Gemini 2.5 Pro for a lower cost per solved task ($0.64 against $0.76) and a larger context window (1.05M against 524K tokens).
Which is cheaper, Gemini 2.5 Pro or Inkling?
Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Inkling costs $0.975 and $4.05. Per solved SWE-bench Verified task, Gemini 2.5 Pro costs $0.64 and Inkling $0.76.
Which has the bigger context window, Gemini 2.5 Pro or Inkling?
Gemini 2.5 Pro, with 1.05M tokens against 524K.
How many benchmarks is the Gemini 2.5 Pro vs Inkling comparison based on?
60 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro's coding index rests on 3 independent benchmarks and Inkling's on 6. Where only one model has a result, the page says so instead of naming a winner.