Fireworks AI vs Mistral AI

Fireworks sells fast serving and self-serve RL across 400+ open models. Mistral sells its own models cheaply, with EU regions and enterprise custom training.

By The Subconscious Team · Updated September 30, 2026

Fireworks AI vs Mistral AI: key differences

Fireworks is built around speed and post-training. Third-party measurements put it at 167 to 174 tokens per second on DeepSeek V4 Pro, and it serves the full 1M context on that model where cheaper hosts truncate it. Its catalog holds 400+ models across text, vision, audio and embeddings. Mistral competes on price instead and caps context at 256K: Small 4 costs $0.15 in and $0.60 out, Large 3 costs $0.50 in and $1.50 out, and Medium 3.5 costs $1.50 in and $7.50 out, with 77.6% on SWE-Bench Verified by Mistral's count. On dedicated hardware, Fireworks' GPU rates rose on September 1, 2026, with an H100 now $8 an hour.

Customization separates them most. Fireworks offers SFT, DPO and reinforcement fine-tuning in LoRA or full-parameter form, serves fine-tunes at base-model prices, and its Training API went GA on August 31, 2026. Mistral deprecated self-serve fine-tuning and sends custom training through Forge, its enterprise system. Mistral wins on distribution and residency. Its models run on Azure, Bedrock, Vertex AI, Snowflake Cortex and watsonx, regional endpoints in Europe and the US went GA in August 2026, and Medium 3.5 self-hosts on four GPUs. Fireworks carries SOC 2, HIPAA and ISO certifications and bills through AWS and GCP marketplaces.

What Fireworks AI and Mistral AI do

Fireworks AI

Fireworks AI was founded in 2022 by former Meta PyTorch engineers led by CEO Lin Qiao, and it sells speed on open models. Its custom serving stack has posted 167 to 174 tokens per second on DeepSeek V4 Pro in third-party measurements, several times what most GPU peers hit on the same model. The catalog holds 400+ models across text, vision, audio and embeddings, served through an OpenAI-compatible API. In July 2026 it raised a $1.505B Series D at a $17.5B valuation, with a reported $1B+ run rate and 40T+ tokens a day.

Example models: DeepSeek V4 Pro, Kimi K3

Full Fireworks AI profile

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.

Example models: Mistral Medium 3.5, Mistral Small 4

Full Mistral AI profile

Should you choose Fireworks AI or Mistral AI?

Fireworks AI

Choose Fireworks AI for

Reinforcement fine-tuning without an enterprise contract
Latency-sensitive tool-calling agents on DeepSeek V4 Pro
Full 1M context on open models

Mistral AI

Choose Mistral AI for

Data residency via EU or US regional endpoints
Cheap general steps on Small 4 or Large 3
Self-hosting a coding model on four GPUs

Fireworks AI vs Mistral AI at a glance

Attribute	Fireworks AI	Mistral AI
Model access	Open weights	Open weights, plus closed Codestral
Flagship models	DeepSeek V4 Pro, Kimi K3	Mistral Medium 3.5, Small 4, Large 3
Speed	167–174 tok/s on DeepSeek V4 Pro	Unknown
Price	Fine-tunes served at base price	$0.15–$1.50 in, $0.60–$7.50 out per 1M
Customization	SFT, DPO, RFT; Training API	Forge (enterprise); fine-tuning API deprecated
Deployment	Serverless, dedicated GPUs	API, Azure, Bedrock, Vertex, self-host
Long context	Full 1M on DeepSeek V4 Pro	256K

Frequently asked questions

What is the difference between Fireworks AI and Mistral AI?

Fireworks sells fast serving and self-serve RL across 400+ open models. Mistral sells its own models cheaply, with EU regions and enterprise custom training.

When should I choose Fireworks AI over Mistral AI?

Reinforcement fine-tuning without an enterprise contract; Latency-sensitive tool-calling agents on DeepSeek V4 Pro; Full 1M context on open models.

When should I choose Mistral AI over Fireworks AI?

Data residency via EU or US regional endpoints; Cheap general steps on Small 4 or Large 3; Self-hosting a coding model on four GPUs.

Is Fireworks AI or Mistral AI cheaper?

Fireworks AI: Fine-tunes served at base price. 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, Fireworks AI or Mistral AI?

Fireworks AI: Full 1M on DeepSeek V4 Pro. Mistral AI: 256K.

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