Mistral Nemo model profile
Evidence snapshot:
Mistral Nemo is a Mistral AI model profile with a 131,072-token context window. The dated catalog snapshot records text modalities and interfaces for structured output, text generation, tool calling.
Mistral Nemo is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt.
Mistral Nemo accepts text and returns text. The snapshot records structured output, text generation, and tool calling as capabilities or interfaces.
The dated reference snapshot lists $0.019 input and $0.03 output per million tokens.
No comparable third-party benchmark value is present in the 2026-08-12 snapshot. Missing values are not estimated.
Mistral Nemo ranked #52 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.
Profile data was reviewed for the 2026-08-12 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.
Profile facts
- Profile type
- Model research profile
- Provider or publisher
- Mistral AI
- Context window
- 131,072 tokens
- Snapshot date
- 2026-08-12
- Reference catalog ID
- mistralai/mistral-nemo
Context, modalities, and identity
Mistral Nemo accepts text and returns text. The snapshot records structured output, text generation, and tool calling as capabilities or interfaces.
- Provider or publisher
- Mistral AI
- Context window
- 131,072 tokens
- Maximum output
- 16,384 tokens
- Input modalities
- text
- Output modalities
- text
- Knowledge cutoff
- 2024-04-30
Capabilities and supported controls
Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.
- Supported parameters
- frequency_penalty, logit_bias, logprobs, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
- structured output
- text generation
- tool calling
Dated pricing snapshot
The dated reference snapshot lists $0.019 input and $0.03 output per million tokens.
These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.
- Price date
- 2026-08-12
- Input
- $0.019 per 1M tokens
- Cached input
- No verified rate
- Output
- $0.03 per 1M tokens
Benchmark evidence and limitations
No comparable third-party benchmark value is present in the 2026-08-12 snapshot. Missing values are not estimated.
Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.
Popularity and market context
Mistral Nemo ranked #52 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.
- Third-party catalog rank
- #52
- Global market share
- Not inferred
- Observation date
- 2026-08-12
Frequently asked questions
What is Mistral Nemo?
Mistral Nemo is a Mistral AI model profile with a 131,072-token context window. The dated catalog snapshot records text modalities and interfaces for structured output, text generation, tool calling.
What context window does Mistral Nemo have?
The dated profile lists 131,072 tokens of context and up to 16,384 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.
What benchmark evidence is available for Mistral Nemo?
No comparable third-party benchmark value is present in the 2026-08-12 snapshot. Missing values are not estimated. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.
Is Mistral Nemo available through Kendr?
This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases.
Does the popularity rank represent Mistral Nemo's global market share?
Mistral Nemo ranked #52 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. No global market-share percentage is inferred when the source does not publish one.
Sources and evidence dates
- Mistral Nemo third-party catalog record (catalog, checked 2026-08-12)
- Third-party model catalog methodology (methodology, checked 2026-08-12)
- Mistral AI official model documentation (primary, checked 2026-08-12)