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Devstral Small 1.1 API: Endpoint & 30% Discount

Deprecated 31 May 2026

Call Devstral Small 1.1 through LLM.API when you want Mistral-family text generation with unified auth, provider choice, and production-friendly defaults.

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What is Devstral Small 1.1?

On LLM.API, Devstral Small 1.1 (devstral-small-2507) serves as a Mistral conversational model for products that need 131K tokens context windows and predictable token pricing. devstral-small-2507 provided by mistral. It is wired for API access through LLM.API with OpenAI-compatible patterns.

Can you self-host Devstral Small 1.1?

No. We found no public weights for Devstral Small 1.1 on Hugging Face, so there is nothing to download, quantize or serve on your own GPUs: no VRAM budget, no vLLM or GGUF build to plan for. The only way to run it is over an API.

Not on LLM.API yet

We do not route this model through our API at the moment. Browse the models you can call today — most workloads have a close match already live.

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Providers

LLM.API routes Devstral Small 1.1 to the providers below, with discounted effective rates versus list price.

List price by provider

InputOutput
mistral$0.1 in
$0.3 out

Provider list prices; the LLM.API discount applies on top.

ProviderPricingContextCapabilities
mistral30% offin $0.1; out $0.3 per 1M tokens131K tokenstools, streaming, JSON, structured

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 27 Sept 2026.

Try this model

Test Devstral Small 1.1 right here — free to start.

Devstral Small 1.1
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Not available on LLM API yet

We do not route this model through our API at the moment, so there is no endpoint or code snippet for it yet. Browse the models you can call today — most workloads have a close match already live.

Browse available models

Devstral Small 1.1 in production

What the model is good at.

  • Code assistance

    Helps write, explain, refactor, and debug application code across common languages. Relevant for `devstral-small-2507` workloads on LLM.API.

  • Long-context synthesis

    Summarizes and cross-references information across large prompts when context allows. Grounded in the model's chat role rather than generic chat claims.

  • Multilingual drafting

    Drafts and translates professional content across major business languages. Relevant for `devstral-small-2507` workloads on LLM.API.

  • Conversational UX

    Maintains coherent multi-turn assistant behavior for product chat surfaces.

  • Structured outputs

    Can produce JSON-friendly or schema-oriented responses when prompted carefully. Relevant for `devstral-small-2507` workloads on LLM.API.

What you get when you call Devstral Small 1.1 through LLM.API.

  • Unified AI Routing

    Practical: Reach Devstral Small 1.1 and sibling models through one OpenAI-compatible endpoint.

    One endpoint, every model.

  • Cost Control

    Compare provider price points and keep spend visible as you scale Devstral Small 1.1.

    More performance, less spend.

  • Reliability Layer

    Retry and route across configured providers when a single upstream blips.

    Never go dark on users.

  • Observability

    Trace prompts, tokens, and errors for Devstral Small 1.1 alongside the rest of your stack.

    See every token, everywhere.

  • Drop-in SDKs

    Production: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.

    Think tasks, not models.

  • Model Breadth

    Swap Devstral Small 1.1 for chat, media, or embedding alternatives without rewriting auth.

    Scale from 1 to millions.

When to Use — When NOT to Use

Use it if...

  • Your prompts benefit from the model's family strengths (reasoning, speed, or cost) (Devstral Small 1.1)
  • You need a general-purpose text model for assistants, agents, or content workflows (Devstral Small 1.1)
  • You want OpenAI-compatible chat completions through a single LLM.API key (Devstral Small 1.1)
  • You need provider failover options exposed for this model id (Devstral Small 1.1)

Avoid if...

  • You require on-prem only deployment with no cloud inference
  • Your use case depends on unpublished proprietary benchmarks not listed here
  • You need pure embedding, OCR, or media generation instead of chat
  • You need guaranteed real-time hard latency SLAs without benchmarking the provider

LLM API rating for Devstral Small 1.1

★ 2.9/ 5.0LLM API rating
50% production adoption · 30% category benchmark · 20% tooling & valueEstimated from published specs
2.5Production adoptionNot yet tracked — no public usage data for this release
2.8Benchmark qualityNo public Arena rank — scored on declared reasoning support
3.8Developer ecosystemContext window, tool and JSON support, price against the category median
Reasoning & chat 2.9Coding 3.3Tool & function calling 3.4
How is this rating calculated?

Every model gets a separate 1.0–5.0 score for each category it can be used in, so a model can rate high for coding and lower for vision. The score combines three parts:

  1. Production adoption — 50%. How widely the model is actually used in production: provider traffic, LiteLLM and gateway usage, open-weight downloads and its LMArena rank. Proven, widely used models score highest.
  2. Category benchmark — 30%. The public benchmark that matters for that category — the Artificial Analysis Intelligence Index and LMArena Elo for reasoning, LMArena coding Elo for coding, image and document support plus vision Elo for vision, tool and JSON support for function calling, measured speed for voice.
  3. Tooling & value — 20%. Context window, support for tools, structured outputs and streaming, and price compared with the category median.

Scores of 4.0 and above are shown in green, 3.0–3.9 in yellow, below 3.0 in red. When a model has no public data for a part, it gets a neutral value instead of an invented number.

A “Verified benchmark” mark (✓) means an independent lab — LMArena or Artificial Analysis — has actually tested that model, and the source figure is shown. Models without that mark are labelled “Estimated from published specs”: the score comes from the published context window, tool and schema support, price and adoption only, because no independent lab has tested them yet.

One exception: a brand-new top-tier model that scores very high on the independent benchmarks but has no usage history yet is rated on the benchmark (60%) and tooling & value (40%) alone, so a missing adoption figure can't hold it back. All inputs come from public sources and are refreshed weekly.

Adoption and benchmark inputs come from public sources — LMArena, Artificial Analysis Intelligence Index and published model specs. Updated weekly.

COMMUNITY

What developers say about Mistral models

LMArena—Speed—Sources: LMArena, Artificial Analysis

Summarised from publicly published developer and community reviews of this model family. Opinions are the sources’, not LLM.API’s, and may not be specific to Devstral Small 1.1.

  • Long-form paid reviews rate Mistral Large around 4/5 and call it the best European-hosted option when data residency matters.
  • For pure coding, community consensus is that it trails the top US and Chinese models, though it is considered fully usable as an assistant.
  • Developers pick it mainly for EU hosting, predictable pricing, and open-weight siblings rather than leaderboard position.

SOURCES

Frequently Asked Questions

  • Where is the canonical page for Devstral Small 1.1?

    https://llmapi.ai/models/mistralai-devstral-small-2507/

  • What is Devstral Small 1.1?

    devstral-small-2507 provided by mistral. It is wired for API access through LLM.API with OpenAI-compatible patterns. On LLM.API it is addressed as `devstral-small-2507`.

  • When should I choose Devstral Small 1.1?

    You need provider failover options exposed for this model id — especially when you specifically need Devstral Small 1.1.

  • Can I use tools or structured outputs with Devstral Small 1.1?

    Tool and/or structured-output flags appear on one or more providers for this model—confirm in the providers table.

  • Does Devstral Small 1.1 support streaming?

    Yes—at least one listed provider advertises streaming.

  • How do I call Devstral Small 1.1 via API?

    Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "devstral-small-2507" and your LLM.API key. See the code snippet on this page.

  • Which providers serve Devstral Small 1.1?

    LLM.API currently lists: mistral. Availability can vary by region and account.

  • Is Devstral Small 1.1 a chat model?

    Yes—Devstral Small 1.1 is exposed as a chat/completions-style endpoint on LLM.API.

  • What modalities does Devstral Small 1.1 support?

    Devstral Small 1.1 accepts text and produces text according to its architecture metadata on LLM.API.

  • What is the context length for Devstral Small 1.1?

    Reported context for Devstral Small 1.1 is 131K tokens. Always verify the active provider row if multiple providers are listed.

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