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Model comparison
Claude Haiku 4.5 vs Inkling
Compare Claude Haiku 4.5 and Inkling using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.
Facts checked September 14, 2026
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Set your usage. Your estimate updates as you type.
Example: 6,000 input tokens for 10 pages, plus a 500-token summary. Page lengths vary; adjust the numbers below.
One run sends your input to the model once and receives an answer. Tokens are pieces of text: input is what you send, output is the answer you receive.
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How this estimate works
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
| Model | Access | Estimated total (USD) |
|---|---|---|
| Claude Haiku 4.5Anthropic | Anthropic | $0.0085 |
| InklingThinking Machines Lab | Thinking Machines Lab | No reviewed rate |
Quick take
Claude Haiku 4.5
A compact Claude model for quick replies, classification and narrowly scoped assistants.
Best for
- Data extraction
- Request routing
Watch out for
Haiku 4.5 uses manual extended thinking, not the adaptive thinking settings of the newer Claude models.
Inkling
Thinking Machines Lab's large open-weights model for customizable reasoning, coding, tools, vision, and audio workflows.
Best for
- Teams that want an adaptable open-weight foundation model
- Agentic coding and tool-use experiments
- Private or specialized deployments with multimodal inputs
Watch out for
A 975B model is a serious serving project even with sparse activation. Compare the exact hosted or self-hosted route, and do not assume the model's 1M maximum context is available on every provider.
Compare the published facts
Claude Haiku 4.5 vs Inkling
Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.
| Text & reasoning | Claude Haiku 4.5 | Inkling |
|---|---|---|
| Context windowMaximum combined prompt and working context documented by the provider. | 200K tokens | Up to 1M tokens; Tinker offers 64K and 256K |
| Maximum outputProvider-published response limit, where available. | 64K tokens | Not separately published |
| Knowledge cutoffLatest reliable knowledge date explicitly published by the model provider. Search and connected tools can retrieve newer information but do not change the model's built-in cutoff. | February 2025 | Not published |
| Input priceCurrent standard list price per million input tokens unless noted. | $1 / 1M | Hosting dependent |
| Output priceCurrent standard list price per million output tokens unless noted. | $5 / 1M | Hosting dependent |
| InputsMedia types accepted by the listed model endpoint. | Text, image | Text, image, audio |
| Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list. | Tool use, agents, vision, coding workflows | Agentic coding, tools, Python-assisted vision, controllable thinking |
How to choose
Compare the job, not the hype.
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
Claude Haiku 4.5
Anthropic does not train on API data without express permission. Retention depends on the API feature, account agreement and cloud provider.
Provider and API links
Inkling
The open weights can be self-hosted so request data stays in infrastructure you control. Tinker and partner-hosted routes have separate retention and training-use terms that must be checked with the selected provider.
Frequently asked questions
Claude Haiku 4.5 vs Inkling FAQ
What is the main difference between Claude Haiku 4.5 and Inkling?
Claude Haiku 4.5: A compact Claude model for quick replies, classification and narrowly scoped assistants. Inkling: Thinking Machines Lab's large open-weights model for customizable reasoning, coding, tools, vision, and audio workflows.
Should I choose Claude Haiku 4.5 or Inkling?
Consider Claude Haiku 4.5 when your priority is Data extraction. Consider Inkling when your priority is Teams that want an adaptable open-weight foundation model. Test both with your own data and provider route before committing.
Is this Claude Haiku 4.5 vs Inkling comparison based on Cody benchmarks?
No. This comparison aligns provider-published facts for the Text & reasoning category. It does not claim a universal winner or combine incompatible third-party benchmark scores.