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Mistral AI vs Meta
Meta's Muse Spark 1.3 is a closed agentic model in public preview with 1M context. Mistral is an established API with open flagship weights and 256K context.
By The Subconscious Team · Updated
Mistral AI vs Meta: key differences
Meta moved from open Llama releases to a closed API. Muse Spark 1.3 carries a 1M context at $1.25 in and $4.25 out, with cached input at $0.15, and runs around 145 to 233 tokens per second. Its endpoint speaks OpenAI Chat Completions, Anthropic Messages and a stateful agentic format. Mistral's Medium 3.5 aims at the same agentic coding work at $1.50 in and $7.50 out with 256K context, so Muse Spark is cheaper and holds more context. Mistral's Large 3 at $0.50 in and Small 4 at $0.15 in beat it for volume. Meta's Contributor tier drops prices to $0.10 in and $0.20 out if Meta can train on your traffic.
Maturity and control favor Mistral. Meta's API is still in public preview with a short track record, and the Contributor discount rules out most business data. Meta's open option is Muse Glimmer, a distilled model that runs on vLLM, SGLang, llama.cpp or ExecuTorch, not the flagship. Mistral's flagship weights are open, Medium 3.5 self-hosts on four GPUs, and its models sit on Azure, Bedrock, Vertex AI, Snowflake Cortex and watsonx with EU or US regions and a Priority Tier SLA. Meta bundles Muse Image at $0.01 per image and transcription at $0.18 per hour of audio; Mistral counters with Voxtral, OCR and Codestral.
What Mistral AI and Meta do
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 profileMeta
Meta has moved from open Llama releases toward its own closed API. Meta Superintelligence Labs builds the Muse family, and in July 2026 Meta opened a public preview of the Meta Model API with Muse Spark 1.1, a multimodal reasoning model aimed at agentic coding, tool use and computer use. The current lineup runs through Muse Spark 1.3 with a 1M token context. Standard pricing is $1.25 in and $4.25 out per million tokens, with cached input at $0.15, and the endpoint speaks OpenAI Chat Completions, Anthropic Messages and a stateful agentic format.
Example models: Muse Spark 1.3, Muse Glimmer
Full Meta profileShould you choose Mistral AI or Meta?
Mistral AI
Choose Mistral AI for
- Production traffic that needs uptime SLAs
- Self-hosting a flagship-class model
- EU or US data processing
Meta
Choose Meta for
- Agentic coding with 1M context at $1.25 in
- Near-free prototyping on the Contributor tier
- Cheap image generation and transcription on one key
Mistral AI vs Meta at a glance
| Attribute | Mistral AI | Meta |
|---|---|---|
| Model access | Open weights, plus closed Codestral | Closed API; open Muse Glimmer |
| Flagship models | Mistral Medium 3.5, Small 4, Large 3 | Muse Spark 1.3, Muse Glimmer |
| Speed | Unknown | ~145–233 tok/s on Muse Spark 1.3 |
| Price | $0.15–$1.50 in, $0.60–$7.50 out per 1M | $1.25 in, $4.25 out; Contributor tier cheaper |
| Customization | Forge (enterprise); fine-tuning API deprecated | Open Muse Glimmer weights to fine-tune |
| Deployment | API, Azure, Bedrock, Vertex, self-host | Meta Model API (preview) |
| Long context | 256K | 1M |
Frequently asked questions
What is the difference between Mistral AI and Meta?
Meta's Muse Spark 1.3 is a closed agentic model in public preview with 1M context. Mistral is an established API with open flagship weights and 256K context.
When should I choose Mistral AI over Meta?
Production traffic that needs uptime SLAs; Self-hosting a flagship-class model; EU or US data processing.
When should I choose Meta over Mistral AI?
Agentic coding with 1M context at $1.25 in; Near-free prototyping on the Contributor tier; Cheap image generation and transcription on one key.
Is Mistral AI or Meta cheaper?
Mistral AI: $0.15–$1.50 in, $0.60–$7.50 out per 1M. Meta: $1.25 in, $4.25 out; Contributor tier cheaper. The cheaper choice depends on the model and workload.
Which has more context, Mistral AI or Meta?
Mistral AI: 256K. Meta: 1M.
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If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.