Mistral NeMo (2407)
Mistral NeMo (2407) is worth evaluating for long context when its provider route and context window match the workload.
Use it for
- Teams evaluating long context
- Workloads that can use a 128k context window
- Buyers comparing 4 tracked provider routes
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- Mistral NeMo
- Released
- 2024-07-18
- Context
- 128k
- Parameters
- 12B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2024-04
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
Cheapest of 7 routes · OpenRouter
About
Mistral NeMo is a 12B parameter open-source language model developed by Mistral AI, designed for efficient performance and reasoning tasks. With a 128K token context window, it excels at handling long documents and complex reasoning. The model is optimized for fast inference while maintaining strong performance across multiple benchmarks, making it suitable for enterprise deployments where balance between performance and resource efficiency is critical.
Mistral NeMo is a 12-billion-parameter open-source language model developed jointly by Mistral AI and NVIDIA, released in July 2024. It supports a 128,000-token context window and is available under the Apache 2.0 license, making it freely usable for both research and commercial applications. The model was designed to replace Mistral 7B as the default open mid-tier model, offering substantially longer context and improved multilingual capability at a modest increase in parameter count.
A notable architectural feature is the Tekken tokenizer, which has a vocabulary of approximately 131,000 tokens—significantly larger than the previous Mistral tokenizer. This improves tokenization efficiency for multilingual text, including European and Asian languages, reducing token count for equivalent text and thus lowering cost and latency for multilingual applications. The model architecture is otherwise a standard decoder-only transformer, similar to Mistral 7B, optimized for efficient inference on commodity hardware.
Mistral NeMo is available through Mistral AI's API, Fireworks AI, Bitdeer, OpenRouter, Novita AI, and SiliconFlow. It can be self-hosted from Hugging Face (mistralai/Mistral-Nemo-Instruct-2407). At 12B parameters, it is heavier than Mistral 7B but substantially cheaper than Mistral Small or Mistral Large and fits on a single GPU with 24GB VRAM in standard precision. For applications currently using Mistral 7B that need longer context or better multilingual coverage, Mistral NeMo is the natural upgrade path.
Mistral NeMo (2407) has a 128k-token context window.
Mistral NeMo (2407) input tokens at $0.02/1M, output at $0.03/1M.
Top use-case fit
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare all 7Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| OpenRouter | $0.020 | $0.030 | Serverless |
| Vercel AI Gateway | $0.020 | $0.040 | Serverless |
| Mistral AI Studio | $0.150 | $0.150 | Serverless |
| Novita AI | $0.040 | $0.170 | Serverless |
Available via routers & gateways(10)
LiteLLM
GatewayOpen-source Python SDK and proxy server that unifies 100+ LLM APIs behind a single OpenAI-compatible interface, with load balancing, cost tracking, and configurable failover.
OpenRouter
HybridUnified hybrid gateway to 400+ models from 60+ providers via a single OpenAI-compatible API, with optional auto-routing that selects the best model per prompt.
Portkey
GatewayProduction AI gateway routing to 1,600+ LLMs with failover, load balancing, semantic caching, and guardrails; Apache 2.0 core is fully self-hostable with the complete feature set.
AIRouter
RouterCommercial LLM router that analyzes incoming requests and routes to the optimal model for cost/quality/latency via a drop-in OpenAI-compatible API, with a privacy-preserving embedding mode that avoids sending prompt content.
Martian
RouterAI-powered LLM router that analyzes each prompt in real-time to select the optimal model, targeting 20–97% cost reduction while maintaining quality; San Francisco startup reportedly nearing $1.3B valuation.
Neutrino AI
RouterCommercial LLM router that dynamically routes each query to the best-suited model with load balancing and fallback handling, charging 3% of underlying AI spend.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Long context
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Compare Mistral NeMo (2407) with other models
Frequently asked questions
What is the context window of Mistral NeMo (2407)?
Mistral NeMo (2407) has a context window of 128k tokens.
How much does Mistral NeMo (2407) cost?
Mistral NeMo (2407) pricing ranges from $0.02/1M to $0.3/1M input tokens depending on the provider.
When was Mistral NeMo (2407) released?
Mistral NeMo (2407) was released on 2024-07-18.
Which providers offer Mistral NeMo (2407)?
Mistral NeMo (2407) is available from 7 providers: Mistral AI Studio, OpenRouter, Fireworks AI, Bitdeer AI, SiliconFlow, Vercel AI Gateway, Novita AI.
Cheapest of 7 routes · OpenRouter