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Compare LLM inference API pricing between Mistral AI and Wafer. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| Model ↑ | Mistral AI | Wafer | Input Diff ↕ |
|---|---|---|---|
Mistral | $0.300 in $0.900 out | Not available | — |
Mistral | $0.400 in $2.00 out | Not available | — |
Mistral | $0.100 in $0.300 out | Not available | — |
Zhipu | Not available | $1.00 in $3.20 out | — |
Zhipu | Not available | $1.20 in $4.10 out | — |
Mistral | $2.00 in $5.00 out | Not available | — |
Mistral | $0.500 in $1.50 out | Not available | — |
Mistral | $0.200 in $0.200 out | Not available | — |
Mistral | $0.100 in $0.100 out | Not available | — |
Mistral | $0.150 in $0.150 out | Not available | — |
Mistral | $0.500 in $1.50 out | Not available | — |
Mistral | $1.50 in $7.50 out | Not available | — |
Mistral | $0.150 in $0.150 out | Not available | — |
Mistral | $0.150 in $0.600 out | Not available | — |
Mistral | $2.00 in $6.00 out | Not available | — |
Explore how these providers compare to other popular GPU cloud services
Compare Mistral AI with another leading provider
Compare Mistral AI with another leading provider
Compare Mistral AI with another leading provider
Compare Mistral AI with another leading provider
Compare Mistral AI with another leading provider
Compare Mistral AI with another leading provider
Access to latest models including Mistral 3, Small 4, Medium 3.5, and specialized models like Codestral and Voxtral TTS
Unified agent for long-horizon productivity and coding tasks, available on web, mobile, CLI, and IDE
Complete AI development environment with API playground, agent orchestration, and deployment tools
Train, align, and evaluate custom AI models with enterprise domain adaptation
Frontier-scale infrastructure for training and inference with dedicated GPU clusters
Leading open-weight models including Mistral 7B, Mixtral 8x7B, and Mistral Nemo under Apache 2.0
Pay-as-you-go API access to hosted open-source models including GLM, Kimi, Qwen, and DeepSeek with no infrastructure management
Custom-tuned inference deployments with performance guarantees, provisioned in under 24 hours
Agents profile inference bottlenecks and tune across serving engines (vLLM, SGLang, TensorRT-LLM), custom kernels (CUDA, HIP, Triton, NKI), quantization (FP8/FP4), and decode strategies
Workloads run on NVIDIA B200/B300, AMD MI350X/MI355X, and AWS Trainium depending on the model and traffic shape
OpenAI-compatible endpoint at pass.wafer.ai/v1 and Anthropic-compatible endpoint at pass.wafer.ai/v1/messages, both using Bearer token authentication
Cached input tokens are billed at reduced rates on supported models
Free, Pro, Team, and Enterprise tiers with varying usage limits and features
Per million token pricing with separate input and output rates
Rate-limited free access for experimentation
Custom models, private deployments, and dedicated infrastructure
Prepaid credits with separate input and output token rates per model and no subscription
Reduced rates for cached input tokens on supported models
Custom pricing for dedicated deployments with tuned performance targets, arranged with the sales team
Sign up at console.mistral.ai to access Vibe and Studio
Use Vibe for AI agent tasks or Studio for API development
Create an API key from Studio for programmatic access
Install Vibe CLI, SDK (mistralai), or use web interfaces
Make your first API call or run tasks in Vibe
Sign up at app.wafer.ai and load credits for pay-as-you-go usage
Create a key in the console and pass it as a Bearer token
Call the OpenAI-compatible endpoint at pass.wafer.ai/v1 with a model from the serverless catalog
EU (France) primary hosting with global availability. Azure, AWS Bedrock, and Google Vertex AI deployment options for data residency requirements
Documentation, Discord community, Vibe chat interface, email support, and enterprise support plans
Documentation at docs.wafer.ai, email support (hi@wafer.ai), and scheduled onboarding calls for enterprise