DeepSeek V4.1 Flash
V4.1 Flash can compare a screenshot with its accompanying specification in one conversation, using the image as evidence for a text answer.
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DeepSeek V4.1 Flash vs Ling 3.1 Flash
Ling 3.1 Flash bills 81% less than DeepSeek V4.1 Flash per million output tokens. Tier prices, request fields and limits side by side.
Ling 3.1 Flash
Ling 3.1 Flash is a hybrid-reasoning mixture-of-experts model from inclusionAI, released on 29 September 2026. The publisher describes it as 560B parameters in total with 25B active per token. Here it is one OpenAI-compatible chat endpoint: up to 262,144 tokens of text in, up to 262,144 tokens out, tools and streaming on every request.
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The short answer
Start with the input you have, the result you want and your budget. These are the differences that affect that choice.
- Ling 3.1 Flash costs 81% less per million output tokens. Compare the input and cache rates below for longer conversations.
Compare the published examples, then try the same input on both models with matching settings.
Test scores side by side
The Spicy Index and Freedom Score for both models, from the same daily calculation as the leaderboards.
| Measure | DeepSeek V4.1 Flash | Ling 3.1 Flash |
|---|---|---|
| Spicy Index | 81.9 | 76.7 |
| Freedom Score | 90.4 | Not yet tested |
| Evidence | Tested 5 of 5 probe types · 31 runs | — |
| Range if the rest pass | 90.4–90.4 | — |
| Price | $0.525 per 1M mixed tokens (3 input : 1 output) | $0.113 per 1M mixed tokens (3 input : 1 output) |
| Reviews | Read the DeepSeek V4.1 Flash review | Read the Ling 3.1 Flash review |
Preliminary · freedom evidence pending
See both on the leaderboard →Current price
Price at the same setting
A start price answers a different question than the one you have. These are the tiers both models publish, matched setting for setting, in US dollars per billed unit with no conversion step in between.
Swipe horizontally to compare all fields.
| Tier | DeepSeek V4.1 Flash | Ling 3.1 Flash | Difference |
|---|---|---|---|
| Input | $0.3 / 1 million tokens | $0.075 / 1 million tokens | Ling 3.1 Flash −75% |
| Cached input | $0.006 / 1 million tokens | $0.075 / 1 million tokens | DeepSeek V4.1 Flash −92% |
| Output | $1.2 / 1 million tokens | $0.225 / 1 million tokens | Ling 3.1 Flash −81% |
What one ordinary job costs
- DeepSeek V4.1 Flash: $0.54 for one million input and two hundred thousand output tokens.
- Ling 3.1 Flash: $0.12 for one million input and two hundred thousand output tokens.
Arithmetic on the published rates at each model's own default setting, not a quote. The console prices your actual settings before a request is accepted.
About this comparison
Controls and limits
Every row here is read from the JSON Schema the endpoint validates against, so it matches what the API will really accept rather than a feature list written by hand.
Swipe horizontally to compare all fields.
| Controls and limits | DeepSeek V4.1 Flash | Ling 3.1 Flash |
|---|---|---|
| Supported tasks | chat | chat |
| Input context | 1,048,576 tokens | 262,144 tokens |
| Maximum output | 384,000 tokens | 262,144 tokens |
| Tool calling | Yes | Yes |
| Execution | Synchronous, with streaming | Synchronous, with streaming |
| Request timeout | 60 minutes | 10 minutes |
| Availability | Live | Live |
Do low-filter models allow every request?
Content policy, side by side
Two separate facts sit behind these labels. The first is what we do, which is nothing: no platform content filter, and no maturity flag to set on a request. The second is what each model does on its own, and that is the only part that varies between these two.
DeepSeek V4.1 Flash
Uncensored
We add no content filter to this model, but like most chat models it declines a blunt request that comes with no context. It writes unrestricted fiction reliably once your system prompt sets up a fiction-writing context, or once the request is framed as a story. Legal and consent duties remain with the customer.
Usage note SpicyAPI adds no separate content filter to V4.1 Flash, while the model may refuse an NSFW analysis; visual input support is not a promise of unrestricted answers. Use authorized source material with DeepSeek V4.1 Flash, respect privacy and review the result before relying on it.
Use these content labels to shortlist models, then open each model page for available examples and content-test details.
The label never changes your obligations. Age, consent, real-person likeness and the law where you operate stay with you, and SpicyAPI does not inspect each request.
Can I swap the model ID without changing the request body?
Request body, field by field
The task lifecycle is shared; the body is not. Each endpoint publishes its own JSON Schema and the API validates against that, so this is the list to reconcile before a switch.
- 7 fields appear in both request bodies under the same names. stop, tools, messages, max_tokens, tool_choice, response_format, reasoning_effort
- DeepSeek V4.1 Flash accepts no field the other one lacks.
- Only Ling 3.1 Flash accepts: top_p, temperature, parallel_tool_calls.
- DeepSeek V4.1 Flash requires messages.
- Ling 3.1 Flash requires messages.
- Both reject unknown fields outright, so a parameter left over from the other model comes back as a validation error instead of being quietly ignored.
How to choose
How to choose
Maximum output
DeepSeek V4.1 Flash can return more in one reply: up to 384,000 tokens against the other model's ceiling.
Input context
DeepSeek V4.1 Flash takes the longer prompt: up to 1,048,576 input tokens in a single request.
Compare
Moving from one to the other
The model identifiers are deepseek/v4.1-flash/chat and inclusionai/ling-3.1-flash/chat, and both go in the same field of the same request.
Both return the response on the chat request. With streaming enabled, read the stream until it finishes; there is no media task to poll.
Both use the same submit-and-track flow, but their required inputs may differ. Check each model page before switching.
One key, one balance, one set of spend caps. Both bill to the same account in US dollars, and the per-key daily, monthly and lifetime limits apply to whichever one you call.
Questions developers ask
Which is cheaper, DeepSeek V4.1 Flash or Ling 3.1 Flash?
Which is cheaper, DeepSeek V4.1 Flash or Ling 3.1 Flash?
Ling 3.1 Flash costs 81% less per million output tokens. Compare the input and cache rates below for longer conversations. Prices may change; check the estimate shown for your actual settings before submitting.
How long can a single request run?
DeepSeek V4.1 Flash allows 60 minutes per task and Ling 3.1 Flash allows 10. Those are ceilings rather than typical times — most requests finish far sooner — but they are what your own client timeout has to survive.
Prices and capabilities shown here come from the current public model catalogue. Check each model page for its latest inputs and examples.