Thinking Machines Inkling models: two sizes, 1.05M context
Thinkingmachines
Services found: 2
| # | AI model | Capabilities | API $/1M (in / out) | Context window | Price / mo | Output $/1M | Overview | Visit site |
|---|---|---|---|---|---|---|---|---|
| 1 |  Inkling Small Thinkingmachines |    | $0.45 / $1.2 | 1.05M tokens | API only | 1.2 | View | |
| 2 | Inkling Thinkingmachines | | $1.87 / $4.68² | 1.05M tokens | API only | 4.68 | View |
Browse by need
Thinking Machines contributes the Inkling family, including Inkling Small at $0.45 input and $1.20 output per 1M tokens on a 1.05M-token window.
A large context window at this price is the notable part: most models offering a million tokens sit several times higher. For long-document work on a budget it is worth a direct comparison.
Long window, low price1.05M tokens at $1.20 per 1M output.
Compact lineA small number of models rather than a full ladder.
Newer labShorter track record than the established vendors.
Models from this vendor
2 Thinkingmachines models in this rating. Prices are input and output per 1M tokens from the vendor official price list; for dirhams multiply by 3.6725. Tap a card to open the model page.
How to choose
- Benchmark against a comparable model from a larger vendor before committing production traffic — line-ups this size get less independent testing.
- Start with Inkling Small at $0.45 / $1.2 per 1M tokens; it is the cheapest entry point here.
- Move up to Inkling at $1 / $4.05 only where the cheaper variant visibly fails, not by default.
- Check the context window against your longest input — the largest here is Inkling Small at 1.05M tokens.
Common mistakes
Assuming parity with the majorsOn the hardest tasks the frontier labs remain ahead; compare on your own cases.
Skipping the exit planA smaller vendor can change terms or availability faster. Identify a fallback model before you depend on this one.
Who this suits
Cost-driven teamsInkling Small at $0.45 / $1.2 undercuts most mainstream options.
EvaluatorsA useful comparison point when benchmarking the models against larger line-ups.
Regional usersRelevant where this vendor platform or language coverage matters more than raw capability.
Related filters
Text & chat228 models for text generation and chat
Vision156 models that read images
Long context 1M+82 models holding 1M tokens or more
Low latency73 small, fast models for volume
Alibaba (Qwen)34 models in this rating
OpenAI30 models in this rating
Google DeepMind17 models in this rating
Frequently asked questions
What is Inkling for?
Long-context work where the usual million-token models are too expensive.
Is it proprietary?
Access is through the vendor API.
How mature is it?
Newer than the established labs — benchmark before committing production traffic.
How many Thinkingmachines models are in this rating?
2, covering text & chat, vision, audio.
Is Thinkingmachines a good default choice?
For most teams no — start with a mainstream vendor and use this one where its pricing or specialisation gives a concrete advantage.
Frequently searched
By capabilityReasoningCodingVisionLong context 1M+Free tierOpen weightsLow latencyRealtime voiceImage generation
By vendorAnthropic (13)OpenAI (30)Google DeepMind (17)xAI (8)Meta (6)DeepSeek (9)Mistral AI (11)Alibaba (Qwen) (34)Z.ai (12)Moonshot AI (5)
² How Inkling is billedTinker charges Inkling in three parts rather than input and output: prefill $1.87, sample $4.68 and train $5.61 per 1M tokens. The table maps prefill to input and sample to output so the model can be compared with the rest of the rating. Both rates currently carry a 50% launch discount, so they will rise. Rates from Tinker model docs, checked in October 2026.
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