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Model comparisons

Ling 3.1 Flash vs Mercury 3

Ling 3.1 Flash bills 67% less than Mercury 3 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.

View model details →View sample outputs →

Mercury 3

Mercury 3 from Inception supports responsive text reasoning and agent interactions. This chat API accepts text, provides a 1,000,000-token input budget and accepts max_tokens up to 131,072. Stream Mercury 3’s text as it arrives, or let a function-call result supply the evidence for the next step in fast text turns with Mercury 3.

View model details →View sample outputs →

Compare

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 67% 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.

Test scores side by side
MeasureLing 3.1 FlashMercury 3
Spicy Index76.771.8
Freedom ScoreNot yet testedNot yet tested
Evidence——
Range if the rest pass——
Price$0.113 per 1M mixed tokens (3 input : 1 output)$0.325 per 1M mixed tokens (3 input : 1 output)
ReviewsRead the Ling 3.1 Flash reviewRead the Mercury 3 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.

Price at the same setting
TierLing 3.1 FlashMercury 3Difference
Input$0.075 / 1 million tokens$0.2 / 1 million tokensLing 3.1 Flash −62%
Cached input$0.075 / 1 million tokens$0.02 / 1 million tokensMercury 3 −73%
Output$0.225 / 1 million tokens$0.7 / 1 million tokensLing 3.1 Flash −67%

What one ordinary job costs

  • Ling 3.1 Flash: $0.12 for one million input and two hundred thousand output tokens.
  • Mercury 3: $0.34 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.

Ling 3.1 Flash vs Mercury 3
Controls and limitsLing 3.1 FlashMercury 3
Supported taskschatchat
Input context262,144 tokens1,000,000 tokens
Maximum output262,144 tokens131,072 tokens
Tool callingYesYes
ExecutionSynchronous, with streamingSynchronous, with streaming
Request timeout10 minutes10 minutes
AvailabilityLiveLive

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.

  • 10 fields appear in both request bodies under the same names. stop, tools, top_p, messages, max_tokens, temperature, tool_choice, response_format, reasoning_effort, parallel_tool_calls
  • Ling 3.1 Flash accepts no field the other one lacks.
  • Mercury 3 accepts no field the other one lacks.
  • Ling 3.1 Flash requires messages.
  • Mercury 3 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

Ling 3.1 Flash can return more in one reply: up to 262,144 tokens against the other model's ceiling.

Input context

Mercury 3 takes the longer prompt: up to 1,000,000 input tokens in a single request.

Compare

Moving from one to the other

The model identifiers are inclusionai/ling-3.1-flash/chat and inception/mercury-3/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, Ling 3.1 Flash or Mercury 3?

Which is cheaper, Ling 3.1 Flash or Mercury 3?

Ling 3.1 Flash costs 67% 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?

Ling 3.1 Flash allows 10 minutes per task and Mercury 3 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.