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DeepInfra vs Mistral AI
DeepInfra is the price floor across 150+ open models, often quantized. Mistral sells its own models first-party, with published rates, regions and uptime SLAs.
By The Subconscious Team · Updated
DeepInfra vs Mistral AI: key differences
DeepInfra is the reference point for cheap tokens, with Llama 3.1 8B at $0.02 per million and DeepSeek V4 Flash at $0.14 in and $0.28 out across a 150+ model catalog. Mistral's cheapest general model, Small 4, costs $0.15 in and $0.60 out, and Large 3 costs $0.50 in and $1.50 out, so DeepInfra usually wins on raw price. The catch is precision. DeepInfra's heavy default quantization can cut quality and context, as with its FP4 DeepSeek V4 Pro capped at 66K tokens, so teams need to check precision per model. Mistral serves its own lineup at 256K context, with Batch at half price and cached input up to 90% off.
Neither is the place to fine-tune by hand. DeepInfra has no managed fine-tuning, and Mistral deprecated its self-serve API in favor of Forge, its enterprise system for pre-training, post-training and RL. Operations separate them more. DeepInfra runs a shared API with no minimums, setup fees or contracts. Mistral offers EU and US regional endpoints, a Priority Tier with uptime SLAs, listings on Azure, Bedrock, Vertex AI, Snowflake Cortex and watsonx, and open weights that self-host Medium 3.5 on four GPUs. It also bundles Codestral, OCR, Voxtral and an Agents API. For bulk jobs where nobody waits, DeepInfra's pricing is hard to beat; for production with residency needs, Mistral fits better.
What DeepInfra and Mistral AI do
DeepInfra
DeepInfra is the price floor for open-model inference. Developers treat it as the reference point for what a token should cost, with small models like Llama 3.1 8B at $0.02 per million and DeepSeek V4 Flash at $0.14 in and $0.28 out. The catalog covers 150+ open models across text, image and speech behind a fully OpenAI-compatible API. There are no minimums, setup fees or contracts on the shared API.
Example models: DeepSeek V4 Flash, Llama 3.1 8B
Full DeepInfra profileMistral 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.
Example models: Mistral Medium 3.5, Mistral Small 4
Full Mistral AI profileShould you choose DeepInfra or Mistral AI?
DeepInfra
Choose DeepInfra for
- Bulk tagging and extraction at the lowest per-token price
- Choosing among 150+ open models with no contract
- Budget backends for consumer chat
Mistral AI
Choose Mistral AI for
- A consistent 256K window across the lineup
- Uptime SLAs through the Priority Tier
- EU data residency
DeepInfra vs Mistral AI at a glance
| Attribute | DeepInfra | Mistral AI |
|---|---|---|
| Model access | Open weights | Open weights, plus closed Codestral |
| Flagship models | DeepSeek V4 Flash, Llama 3.1 8B | Mistral Medium 3.5, Small 4, Large 3 |
| Speed | ~33 tok/s on DeepSeek V4 Pro (FP4) | Unknown |
| Price | From $0.02 per 1M | $0.15–$1.50 in, $0.60–$7.50 out per 1M |
| Customization | No managed fine-tuning | Forge (enterprise); fine-tuning API deprecated |
| Deployment | Shared API, no contracts | API, Azure, Bedrock, Vertex, self-host |
| Long context | 66K on FP4 DeepSeek V4 Pro | 256K |
Frequently asked questions
What is the difference between DeepInfra and Mistral AI?
DeepInfra is the price floor across 150+ open models, often quantized. Mistral sells its own models first-party, with published rates, regions and uptime SLAs.
When should I choose DeepInfra over Mistral AI?
Bulk tagging and extraction at the lowest per-token price; Choosing among 150+ open models with no contract; Budget backends for consumer chat.
When should I choose Mistral AI over DeepInfra?
A consistent 256K window across the lineup; Uptime SLAs through the Priority Tier; EU data residency.
Is DeepInfra or Mistral AI cheaper?
DeepInfra: From $0.02 per 1M. 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, DeepInfra or Mistral AI?
DeepInfra: 66K on FP4 DeepSeek V4 Pro. Mistral AI: 256K.
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