vs
Mistral AI vs Wafer
Wafer runs other labs' open models on agent-tuned stacks and a $10-a-week pass. Mistral sells its own models with list pricing, regions and cloud listings.
By The Subconscious Team · Updated
Mistral AI vs Wafer: key differences
Wafer, from Y Combinator's Summer 2025 batch, uses AI agents to tune inference stacks. They search batching, decoding, quantization, engine, kernel and hardware configs, measure each one and deploy the winner. Wafer reports its tuned Qwen 3.5 397B running 2.8x faster than stock SGLang, with GLM 5.1 and DeepSeek V4 Pro each 2x faster than a vLLM baseline, though those figures are self-reported against stock baselines. Its Wafer Pass subscription from $10 a week covers every hosted model and drops into Claude Code, Cline and OpenHands. Mistral charges per token for its own models: Medium 3.5 at $1.50 in and $7.50 out, Small 4 at $0.15 in and $0.60 out, with 256K context and no published speed figure.
Wafer's dedicated deployments are built around a customer's model, traffic shape and SLO, then retuned continuously on NVIDIA or AMD, which suits teams with a strict latency target and no in-house kernel engineers. It is a very young company with a small hosted catalog. Mistral is established, with EU or US regions, a Priority Tier with uptime SLAs, Batch at half price and listings on Azure, Bedrock and Vertex AI. Its weights self-host on as few as four GPUs, but tuning that stack falls to the customer. For heavy agentic coding on a flat budget, Wafer's pass may cost less. For predictable enterprise deployment, Mistral is the safer pick.
What Mistral AI and Wafer 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 profileWafer
Wafer builds AI agents that act as GPU performance engineers, then sells inference on the stacks those agents tune. The company came out of Y Combinator's Summer 2025 batch as a "Cursor for CUDA" that turned slow PyTorch into custom kernels. Founders Emilio Andere and Steven Arellano are based in San Francisco. Its agents profile a workload, generate candidate configs across batching, decoding, quantization, engines, kernels and hardware, measure each one and deploy the winner.
Example models: Qwen 3.5 397B Turbo, GLM 5.1 Turbo
Full Wafer profileShould you choose Mistral AI or Wafer?
Mistral AI
Choose Mistral AI for
- Enterprise deployment with SLAs and regions
- Per-token billing on first-party models
- Codestral for fast completions
Wafer
Choose Wafer for
- Flat-rate open models in coding agents
- Dedicated endpoints tuned to a latency SLO
- Hedging GPU supply across NVIDIA and AMD
Mistral AI vs Wafer at a glance
| Attribute | Mistral AI | Wafer |
|---|---|---|
| Model access | Open weights, plus closed Codestral | Open weights |
| Flagship models | Mistral Medium 3.5, Small 4, Large 3 | Qwen 3.5 397B Turbo, GLM 5.1 Turbo |
| Speed | Unknown | 2–2.8x vs stock vLLM or SGLang |
| Price | $0.15–$1.50 in, $0.60–$7.50 out per 1M | Wafer Pass from $10 a week |
| Customization | Forge (enterprise); fine-tuning API deprecated | Agent-tuned dedicated deployments |
| Deployment | API, Azure, Bedrock, Vertex, self-host | Serverless pass, dedicated |
| Long context | 256K | Varies by model |
Frequently asked questions
What is the difference between Mistral AI and Wafer?
Wafer runs other labs' open models on agent-tuned stacks and a $10-a-week pass. Mistral sells its own models with list pricing, regions and cloud listings.
When should I choose Mistral AI over Wafer?
Enterprise deployment with SLAs and regions; Per-token billing on first-party models; Codestral for fast completions.
When should I choose Wafer over Mistral AI?
Flat-rate open models in coding agents; Dedicated endpoints tuned to a latency SLO; Hedging GPU supply across NVIDIA and AMD.
Is Mistral AI or Wafer cheaper?
Mistral AI: $0.15–$1.50 in, $0.60–$7.50 out per 1M. Wafer: Wafer Pass from $10 a week. The cheaper choice depends on the model and workload.
Which has more context, Mistral AI or Wafer?
Mistral AI: 256K. Wafer: Varies by model.
Related comparisons
Running long-horizon agents?
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.