Inkling
Inkling is a multimodal MoE model (975B total, 41B active, 256k context) reasoning over text, image, and audio inputs.
text + image + file → text · made by Thinking Machines Lab
$1→$4.05per Mtok in / out
Thinking Machines Lab · 12 sellers
Free
Offered at no charge, which is not the same as cheap: a free lane carries a rate limit and can be withdrawn. The prices above are what you pay when it is not available to you.
- OpenRouter
Sold by 27 ways
| Seller | Lane | Rate |
|---|---|---|
| Thinking Machines Lab api | standard | $1per Mtok in$4.05per Mtok out$0.17per Mtok cachedtinker-docs.thinkingmachines.ai · read 2026-08-25 |
| Databricks cloud | standard | $1per Mtok in$4.05per Mtok out$0.17per Mtok cached$1per Mtok cache writeraw.githubusercontent.com · read 2026-10-31 |
| Thinking Machines Lab api | training | $1.87per Mtok in$4.68per Mtok out$0.37per Mtok cachedtinker-docs.thinkingmachines.ai · read 2026-08-25 |
| Thinking Machines Lab api | training-256k | $3.74per Mtok in$9.36per Mtok out$0.75per Mtok cachedtinker-docs.thinkingmachines.ai · read 2026-08-25 |
| OpenRouter 3 ways | $1per Mtok in$4.05per Mtok out$0.17per Mtok cached | |
| OpenRouter aggregator | free | $0per Mtok in$0per Mtok outopenrouter.ai · read 2026-10-31 |
| OpenRouter aggregatornot on the seller's list today | deepinfra/fp8 | $0.95per Mtok in$4.05per Mtok out$0.16per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | standard | $1per Mtok in$4.05per Mtok out$0.17per Mtok cachedopenrouter.ai · read 2026-10-07 |
| OpenRouter aggregatornot on the seller's list today | baseten/fp8 | $1per Mtok in$4.05per Mtok out$0.17per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregatornot on the seller's list today | batch | $1per Mtok in$4.05per Mtok out$0.17per Mtok cachedopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | together | $1per Mtok in$4.05per Mtok out$0.17per Mtok cachedopenrouter.ai · read 2026-08-25 |
| Venice AI aggregator | standard | $0.56per Mtok in$1.5per Mtok out$0.12per Mtok cachedmodels.dev · read 2026-10-28 |
| Nous Research aggregatornot on the seller's list today | resold | $0.76per Mtok in$3.24per Mtok out$0.13per Mtok cachedinference-api.nousresearch.com · read 2026-08-25 |
| Nous Research aggregatornot on the seller's list today | batch resold | $0.8per Mtok in$3.24per Mtok out$0.14per Mtok cachedinference-api.nousresearch.com · read 2026-08-25 |
| Nous Research aggregator | standard | $1per Mtok in$4.05per Mtok out$0.17per Mtok cachedinference-api.nousresearch.com · read 2026-10-23 |
| Nous Research aggregatornot on the seller's list today | batch | $1per Mtok in$4.05per Mtok out$0.17per Mtok cachedinference-api.nousresearch.com · read 2026-09-12 |
| DeepInfra aggregator | standard | $0.95per Mtok in$4.05per Mtok outapi.deepinfra.com · read 2026-08-25 |
| Hugging Face Inference Providers 2 ways | $1per Mtok in$4.05per Mtok out | |
| Hugging Face Inference Providers aggregator | deepinfra | $0.95per Mtok in$4.05per Mtok outrouter.huggingface.co · read 2026-08-25 |
| Hugging Face Inference Providers aggregator | standard | $1per Mtok in$4.05per Mtok outmodels.dev · read 2026-10-31 |
| Hugging Face Inference Providers aggregatornot on the seller's list today | baseten | $1per Mtok in$4.05per Mtok outrouter.huggingface.co · read 2026-08-25 |
| Hugging Face Inference Providers aggregatornot on the seller's list today | together | $1per Mtok in$4.05per Mtok outrouter.huggingface.co · read 2026-08-25 |
| Baseten aggregator | standard | $1per Mtok in$4.05per Mtok out$0.17per Mtok cachedraw.githubusercontent.com · read 2026-10-31 |
| ElectronHub 0 ways | $1per Mtok in$4.05per Mtok out | |
| ElectronHub aggregatornot on the seller's list today | standard | $1per Mtok in$4.05per Mtok outapi.electronhub.ai · read 2026-09-05 |
| Fireworks AI 2 ways | $1per Mtok in$4.05per Mtok out$0.17per Mtok cached | |
| Fireworks AI aggregator | standard | $1per Mtok in$4.05per Mtok out$0.17per Mtok cachedmodels.dev · read 2026-10-31 |
| Fireworks AI aggregator | priority | $1per Mtok in$4.05per Mtok out$0.17per Mtok cachedraw.githubusercontent.com · read 2026-10-31 |
| Together AI aggregator | standard | $1per Mtok in$4.05per Mtok out$0.17per Mtok cachedmodels.dev · read 2026-10-31 |
| Vercel AI Gateway aggregator | standard | $1per Mtok in$4.05per Mtok out$0.17per Mtok cachedai-gateway.vercel.sh · read 2026-08-25 |
| Requesty aggregator | thinkingmachines | $1.87per Mtok in$4.68per Mtok out$0.37per Mtok cachedrouter.requesty.ai · read 2026-08-28 |
Measured 37 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 21stof 21 | Frontierswe — Epoch AI | Score (xhigh) | 4.119 |
| 25thof 25 | Weirdml v3 — Epoch AI | Score (xhigh) | 3.903 |
| 39thof 68 | Design Arena · webapps (agents) | Elo | 1184 |
| 42ndof 46 | Frontiercode — Epoch AI | Main score | 0.14 |
| 51stof 102 | Simplebench — Epoch AI | Score (AVG@5) | 0.5 |
| 52ndof 60 | Apex agents — Epoch AI | Pass@1 score | 0.338 |
| 52ndof 93 | Simpleqa verified — Epoch AI | mean_score (xhigh) | 40.3 |
| 58thof 131 | Artificial Analysis · Agentic Index | Index | 22.5 |
| 64thof 132 | Ale bench — Epoch AI | Performance | 946 |
| 67thof 326 | GPQA Diamond | mean_score (xhigh) | 88.258 |
| 68thof 78 | Frontiermath tier 4 v2 — Epoch AI | mean_score (xhigh) | 4.878 |
| 75thof 86 | Artificial Analysis · Intelligence Index | Artificial Analysis Intelligence Index (xhigh) | 12 |
| 75thof 122 | Frontiermath tiers 1 3 v2 — Epoch AI | mean_score (xhigh) | 33.333 |
| 78thof 163 | Artificial Analysis · Coding Index | Index | 52.1 |
| 79thof 169 | Design Arena · website (models) | Elo | 1223 |
| 82ndof 163 | Design Arena · codecategories (models) | Elo | 1204 |
| 82ndof 157 | Design Arena · uicomponent (models) | Elo | 1196 |
| 84thof 306 | OTIS Mock AIME 2024-2025 | mean_score (xhigh) | 88.889 |
| 84thof 84 | Proofbench — Epoch AI | Accuracy | 0 |
| 84thof 135 | Webdev arena — Epoch AI | Arena Score | 1409.99 |
| 85thof 150 | Design Arena · 3d (models) | Elo | 1157 |
| 86thof 114 | Design Arena · svg (models) | Elo | 1107 |
| 88thof 93 | Design Arena · asciiart (models) | Elo | 1086 |
| 93rdof 154 | Chess puzzles — Epoch AI | mean_score (xhigh) | 21 |
| 98thof 162 | Design Arena · gamedev (models) | Elo | 1165 |
| 100thof 235 | Dtbench — Epoch AI | Accuracy (xhigh) | 87.47 |
| 104thof 273 | ARC-AGI-1 (Public Eval) | Score (%) | 90.62 |
| 107thof 154 | Design Arena · dataviz (models) | Elo | 1157 |
| 117thof 197 | Lmca — Epoch AI | Score (xhigh) | 37.58 |
| 118thof 282 | ARC-AGI-2 (Public Eval) | Score (%) | 37.78 |
| 126thof 298 | ARC-AGI-1 (Semi-Private) | Score (%) | 79.5 |
| 126thof 298 | ARC-AGI-2 (Semi-Private) | Score (%) | 36.53 |
| 133rdof 290 | Arc agi 2 — Epoch AI | Score | 36.528 |
| 135thof 260 | Critpt — Epoch AI | Accuracy (xhigh) | 5.429 |
| 137thof 309 | Arc agi — Epoch AI | Score | 79.5 |
| 142ndof 235 | Scicode — Epoch AI | Score (xhigh) | 46.991 |
| 147thof 173 | Weirdml — Epoch AI | Accuracy (high) | 32.29 |
About
Inkling — a text model from Thinking Machines Lab, sold by 12 companies from $0.56 in and $1.5 out per million tokens, placed 67th of 326 on GPQA Diamond.
It takes text, images and files and returns text, with a context window of 256,000 tokens. It was published in July 2026. Its sellers say it can reason step by step and call a tool. The catalogue files it under reasoning and agents. Twelve companies sell it. The cheapest is $0.56 in and $1.5 out per million tokens at Venice AI. Beside the standard rate there are faster and separately routed lanes. It has been measured on 37 boards, and stands best at 67th of 326 on GPQA Diamond.
Every current figure
- Maker
- Thinking Machines Lab
- Register
- model
- Takes
- text + image + file
- Returns
- text
- Context
- 256,000 tokens
- Published
- July 2026
- Parameters
- 952 billion
- Licence
- not read
- Sellers
- 12
- Price
- $0.56 in and $1.5 out per million tokens — Venice AI
- Boards
- 37
- Best place
- 67th of 326 — GPQA Diamond
Known as 4 names
thinkingmachines/inklingthinkingmachines/inkling:batchthinkingmachines/Inkling:peft:262144thinkingmachines/Inkling:peft:262144:sampling-nvfp4