As of August 20, 2026, Inkling-Small API pricing is $0.30 per million input tokens and $1.20 per million output tokens. A typical 100K-in / 20K-out request costs $0.05. Source: https://thinkingmachines.ai
Source: Thinking Machines Lab pricing (https://thinkingmachines.ai)
Input $/M
$0.30
Output $/M
$1.20
Blended / 1M
$1.50
100K / 20K request
$0.05
| Context Window | 256K |
|---|---|
| Max Output | 256K tokens |
| Release Date | 2026-07-30 |
| Knowledge Cutoff | N/A |
| License | Open Source |
| Throughput | N/A |
| HLE | 31.6% |
|---|---|
| GPQA | 89.5% |
| GPQA Diamond | 88.5% |
| SWE-bench Verified | 80.2% |
| LiveCodeBench | 85.9% |
| SciCode | 48.7% |
| Vibe Code Bench | 19.1% |
| BrowseComp | 77.4% |
| SimpleQA | 19.5% |
| IFBench | 82.2% |
| FinanceAgent v2 | 41.3% |
| ARC-AGI 2 | 40.1% |
| ARC-AGI-1 Verified | 84% |
| Terminal-Bench 2.1 | 64.7% |
| ToolAthlon | 54.4% |
| MCP Atlas | 79.6% |
| MMMU-Pro | 74% |
| CharXiv-R | 77.4% |
| AIME 2025 | 90% |
| Aa Briefcase | 30.6% |
| Aime 2026 | 95.5% |
| Arc Agi | 84% |
| Artificial Analysis Index | 40 |
| Code Migration | 13.7% |
| CorpFin v2 | 69.6% |
| CritPt | 8.3% |
| CyberBench | 68.8% |
| EMB | 31.8% |
| Gdpval Aa | 42.3% |
| Global Mmlu Lite | 86.7% |
| MedCode | 37.9% |
| MedScribe | 84.1% |
| Mmau | 77% |
| MMLU-Pro | 85.6% |
| ProofBench | 5% |
| SAGE | 32.7% |
| Simpleqa Verified | 20.6% |
| SkillsBench | 33.6% |
| SWE-bench Pro | 55.9% |
| Tau3 Banking | 15.5% |
| Tax Eval v2 | 75.5% |
| Voicebench Avg | 90.1% |
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As of August 20, 2026, Inkling-Small Thinking Machines Lab API pricing is $0.30 per million input tokens and $1.20 per million output tokens via Thinking Machines Lab. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://thinkingmachines.ai
On this page the blended Inkling-Small API cost is $1.50 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $2.10.
A typical Inkling-Small API request with 100K input tokens and 20K output tokens costs about $0.05 at current rates as of August 20, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from Thinking Machines Lab can bring the real invoice lower than the public list rate at https://thinkingmachines.ai.
Inkling-Small supports a 256K token context window and can generate up to 256K output tokens per request. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
Yes. Inkling-Small is an open-weight model by Thinking Machines. You can download the weights and self-host, or pay Thinking Machines Lab's hosted API and skip GPU ops. Hosted API pricing on this page is the public per-million-token rate, not the electricity cost of running the weights yourself.
Inkling-Small currently reports HLE 31.6%, GPQA 89.5%, GPQA Diamond 88.5%. See the performance table for the full eval set. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
Inkling-Small scores 80.2% on SWE-bench Verified. Pair that score with Thinking Machines Lab API pricing on this page: a slightly worse SWE-bench model can still win if it is much cheaper per million tokens. Open the SWE-bench or coding leaderboard from the sidebar for the full ranking, then jump into an LLM comparison against a coding specialist.
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated Inkling-Small vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut Inkling-Small. Open-weight models can be cheaper still if you self-host, but that is not the same as Thinking Machines Lab API pricing on this page.
Inkling-Small is called through Thinking Machines Lab's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for Thinking Machines Lab and 5+ other providers with auth, payments, and deployment already configured.
This Inkling-Small page tracks the latest published Thinking Machines Lab API pricing from Thinking Machines Lab, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://thinkingmachines.ai. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.
Inkling-Small is a open-source model from Thinking Machines. Current API pricing is $0.30 per million input tokens and $1.20 per million output tokens, with a 256K token context window. A blended 1M-in / 1M-out workload costs $1.50.
Rank it on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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