# Baseten vs Mistral AI

> Baseten wins on measured time to first token and custom deployments via Truss. Mistral wins on list price for its own models and on sovereign deployment.

Canonical: https://www.subconscious.dev/compare/baseten-vs-mistral-ai · By The Subconscious Team · Updated September 30, 2026

## How they compare

Baseten's Model APIs serve 13 curated open models, including DeepSeek V4, GLM 5.2, Kimi K3 and gpt-oss 120B, over endpoints that speak both OpenAI and Anthropic formats. It posted the lowest time to first token on the Artificial Analysis board in August 2026, 0.49 seconds, and its KV cache-aware routing helps agentic coding traffic. Mistral serves its own models: Medium 3.5 at $1.50 in and $7.50 out, Large 3 at $0.50 in and $1.50 out and Small 4 at $0.15 in and $0.60 out, all with 256K context, plus Codestral for fill-in-the-middle completion. Baseten's catalog spans several labs; Mistral's goes deeper within one family, with OCR and Voxtral speech alongside.

For custom models, Baseten is more hands-on. Truss packages any model for dedicated deployment billed per GPU minute, about $6.50 an hour for an H100, with scale to zero and a 99.99% uptime SLA. Mistral's self-serve fine-tuning API is deprecated, and custom training now runs through Forge. Both support self-hosting and residency. Baseten offers self-host, HIPAA and data residency options, while Mistral ships open weights that run Medium 3.5 on four GPUs, NVIDIA NIM containers, and EU or US regional endpoints. Mistral also sells through Azure, Bedrock, Vertex AI, Snowflake Cortex and watsonx, which suits teams spending cloud credits.

## What each one does

### Baseten

Baseten runs two products. Model APIs serve a curated set of 13 open models, including DeepSeek V4, GLM 5.2, Kimi K3 and gpt-oss 120B, over endpoints that speak both the OpenAI Chat Completions shape and the Anthropic Messages shape. That dual compatibility means an existing OpenAI or Claude SDK, or a coding agent, points at Baseten with a base URL change. Dedicated deployments take any model you package with the open-source Truss CLI and bill per GPU minute, with an H100 at about $6.50 an hour.

### Mistral AI

Mistral AI is a Paris lab that sells its models through La Plateforme, its own API, and releases most of them as open weights. It consolidated the lineup in 2026. Mistral Medium 3.5, released April 28, is a dense 128B model that merges instruction following, reasoning and coding into one set of weights, and it replaced both Devstral 2 and the Magistral reasoning models. It costs $1.50 in and $7.50 out per million tokens and scores 77.6% on SWE-Bench Verified by Mistral's count. Mistral Small 4, a 119B mixture-of-experts model with 6.5B active, costs $0.15 in and $0.60 out. Mistral Large 3, a 675B MoE under Apache 2.0, runs $0.50 in and $1.50 out. All three carry a 256K context window.

## Which is best, and when

### Choose Baseten for

- Chat and coding UIs where time to first token matters
- Serving private fine-tunes or non-LLM models with Truss
- Pointing an Anthropic-format coding agent at open models

### Choose Mistral AI for

- Low list prices on Mistral's own model family
- Buying through existing cloud marketplaces
- In-region processing in Europe

## At a glance

| Attribute | Baseten | Mistral AI |
|---|---|---|
| Model access | Open weights, 13 curated | Open weights, plus closed Codestral |
| Flagship models | GLM 5.2, DeepSeek V4, Kimi K3, gpt-oss 120B | Mistral Medium 3.5, Small 4, Large 3 |
| Speed | 0.49s TTFT, lowest measured | - |
| Price | H100 about $6.50/hr dedicated | $0.15–$1.50 in, $0.60–$7.50 out per 1M |
| Customization | Deploy any model with Truss | Forge (enterprise); fine-tuning API deprecated |
| Deployment | Model APIs, dedicated, self-host | API, Azure, Bedrock, Vertex, self-host |
| Long context | Varies by model | 256K |

## FAQ

### What is the difference between Baseten and Mistral AI?

Baseten wins on measured time to first token and custom deployments via Truss. Mistral wins on list price for its own models and on sovereign deployment.

### When should I choose Baseten over Mistral AI?

Chat and coding UIs where time to first token matters; Serving private fine-tunes or non-LLM models with Truss; Pointing an Anthropic-format coding agent at open models.

### When should I choose Mistral AI over Baseten?

Low list prices on Mistral's own model family; Buying through existing cloud marketplaces; In-region processing in Europe.

### Is Baseten or Mistral AI cheaper?

Baseten: H100 about $6.50/hr dedicated. Mistral AI: $0.15–$1.50 in, $0.60–$7.50 out per 1M. The cheaper choice depends on the model and workload.

### Which has more context, Baseten or Mistral AI?

Baseten: Varies by model. Mistral AI: 256K.

## Running long-horizon agents?

If your agents run past 200K tokens, compare both against Subconscious: [Subconscious vs Baseten](https://www.subconscious.dev/compare/subconscious-vs-baseten.md), [Subconscious vs Mistral AI](https://www.subconscious.dev/compare/subconscious-vs-mistral-ai.md).

Full profiles: [Baseten](https://www.subconscious.dev/providers/baseten.md), [Mistral AI](https://www.subconscious.dev/providers/mistral-ai.md).