# Mistral AI vs General Compute

> Mistral ships open-weight models on its API, every major cloud or your GPUs. General Compute serves other labs' open models on ASIC decode.

Canonical: https://www.subconscious.dev/compare/mistral-ai-vs-general-compute · By The Subconscious Team · Updated October 27, 2026

## How they compare

Mistral's lineup runs from Small 4 at $0.15 in and $0.60 out per million tokens to Medium 3.5 at $1.50 in and $7.50 out, with 256K context and Large 4 in preview at 1M. It offers EU and US regional endpoints, runs on Azure, Bedrock, Vertex AI and other clouds, and sells custom training through Forge. General Compute serves MiniMax M2.7, DeepSeek V3.2, DeepSeek V3.1 and GPT-OSS 120B from $0.21 in per million tokens, out of us-west-2 only. It runs decode on ASICs and reports over 1,000 tokens per second on GPT-OSS 120B in its own benchmark.

Mistral is the pick for teams that need EU data residency, cloud-marketplace billing or the option to self-host the same weights. General Compute fits workloads where decode speed matters and its models fit the task. It serves LoRA or fine-tuned checkpoints self-serve, while Mistral moved custom training to its enterprise Forge system.

## What each one does

### 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. Mistral Large 4, a 1.05T multimodal MoE with 52B active, entered public preview on October 6, 2026 with a 1M context at $1.36 in and $4.18 out. Its weights are due at the end of October.

### General Compute

General Compute is a San Francisco inference cloud built on alternative chips. It splits each request across hardware, with NVIDIA GPUs handling prefill and ASICs from Cerebras, SambaNova, Positron AI and d-Matrix handling decode. In its own open benchmark on GPT-OSS 120B it measured 1,025 to 1,234 output tokens per second against 100 to 121 on an unnamed GPU cloud, and up to 16.2x faster end to end. Founders Finn Puklowski and Jason Goodison raised a $15M seed led by FUSE, an up to $400M debt facility from Upper90 and, on October 27, 2026, a $100M Series A co-led by Blackbird and Abstract.

## Which is best, and when

### Choose Mistral AI for

- EU data residency
- Self-hosting open weights
- Cloud marketplace buying

### Choose General Compute for

- Fast decode in the US West
- Self-serve custom checkpoints
- Reserved ASIC racks

## At a glance

| Attribute | Mistral AI | General Compute |
|---|---|---|
| Model access | Open weights, plus closed Codestral | Open weights |
| Flagship models | Mistral Large 4, Medium 3.5, Small 4, Large 3 | MiniMax M2.7, DeepSeek V3.2, GPT-OSS 120B |
| Speed | - | 1,000+ tok/s on GPT-OSS 120B (vendor) |
| Price | $0.15–$1.50 in, $0.60–$7.50 out per 1M | $0.21–$0.28 in, $0.38–$1.20 out per 1M |
| Customization | Forge (enterprise); fine-tuning API deprecated | Custom LoRA and fine-tuned checkpoints |
| Deployment | API, Azure, Bedrock, Vertex, self-host | Serverless API, dedicated racks, bare metal |
| Long context | 1M (Large 4 preview); 256K on others | 192K (MiniMax M2.7) |

## FAQ

### What is the difference between Mistral AI and General Compute?

Mistral ships open-weight models on its API, every major cloud or your GPUs. General Compute serves other labs' open models on ASIC decode.

### When should I choose Mistral AI over General Compute?

EU data residency; Self-hosting open weights; Cloud marketplace buying.

### When should I choose General Compute over Mistral AI?

Fast decode in the US West; Self-serve custom checkpoints; Reserved ASIC racks.

### Is Mistral AI or General Compute cheaper?

Mistral AI: $0.15–$1.50 in, $0.60–$7.50 out per 1M. General Compute: $0.21–$0.28 in, $0.38–$1.20 out per 1M. The cheaper choice depends on the model and workload.

### Which has more context, Mistral AI or General Compute?

Mistral AI: 1M (Large 4 preview); 256K on others. General Compute: 192K (MiniMax M2.7).

## Running long-horizon agents?

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

Full profiles: [Mistral AI](https://www.subconscious.dev/providers/mistral-ai.md), [General Compute](https://www.subconscious.dev/providers/general-compute.md).