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Model comparison
Inkling vs DeepSeek-V4-Flash
Compare Inkling and DeepSeek-V4-Flash using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.
Facts checked September 4, 2026
Estimate your cost
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.
Advanced options
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) |
|---|---|---|
| DeepSeek-V4-FlashDeepSeek | DeepSeek | No reviewed rate |
| InklingThinking Machines Lab | Thinking Machines Lab | No reviewed rate |
Quick take
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.
DeepSeek-V4-Flash
DeepSeek's lower-cost V4 model for high-volume reasoning, coding, agents, and million-token text workloads.
Best for
- Cost-efficient coding and agent workloads
- Large-context text analysis
- High-concurrency applications using familiar API formats
Watch out for
Flash's knowledge cutoff and universal latency are not published. Do not confuse it with Flash-Vision-Exp, and verify peak pricing, cache behavior, output budgets, jurisdiction, and data handling.
Compare the published facts
Inkling vs DeepSeek-V4-Flash
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 | Inkling | DeepSeek-V4-Flash |
|---|---|---|
| Context windowMaximum combined prompt and working context documented by the provider. | Up to 1M tokens; Tinker offers 64K and 256K | 1M tokens |
| Maximum outputProvider-published response limit, where available. | Not separately published | Up to 384K tokens |
| 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. | Not published | Not published |
| Input priceCurrent standard list price per million input tokens unless noted. | Hosting dependent | $0.44 / 1M peak uncached; $0.22 off-peak |
| Output priceCurrent standard list price per million output tokens unless noted. | Hosting dependent | $1.32 / 1M peak; $0.66 off-peak |
| InputsMedia types accepted by the listed model endpoint. | Text, image, audio | Text; separate Flash-Vision-Exp accepts images |
| Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list. | Agentic coding, tools, Python-assisted vision, controllable thinking | Tools, JSON output, Responses API, thinking effort, FIM beta |
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.
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.
DeepSeek-V4-Flash
DeepSeek documents its Responses API as stateless and says responses and conversations are not stored by that endpoint. This is not a complete account-wide retention or training-use promise; review current platform terms and automatic cache behavior for sensitive data.
Provider and API links
Frequently asked questions
Inkling vs DeepSeek-V4-Flash FAQ
What is the main difference between Inkling and DeepSeek-V4-Flash?
Inkling: Thinking Machines Lab's large open-weights model for customizable reasoning, coding, tools, vision, and audio workflows. DeepSeek-V4-Flash: DeepSeek's lower-cost V4 model for high-volume reasoning, coding, agents, and million-token text workloads.
Should I choose Inkling or DeepSeek-V4-Flash?
Consider Inkling when your priority is Teams that want an adaptable open-weight foundation model. Consider DeepSeek-V4-Flash when your priority is Cost-efficient coding and agent workloads. Test both with your own data and provider route before committing.
Is this Inkling vs DeepSeek-V4-Flash 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.