Mistral NeMo Instruct (2407)
Mistral NeMo Instruct (2407) is worth evaluating for coding, long context, and classification when its provider route and context window match the workload.
Use it for
- Teams evaluating coding, long context, and classification
- 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
- Training
- finetuned
Cheapest of 7 routes · DeepInfra
About
Mistral NeMo Instruct (2407) is MistralAI's Mistral NeMo model. It offers a 128K-token context window and scores 57.1 on GPQA.
Mistral NeMo Instruct (2407) is a model in the Mistral NeMo family. The structured metadata tracks a 128k-token context window. This page tracks provider routes through NVIDIA NIM, Microsoft Foundry, DeepInfra, and 4 more, with the cheapest tracked route listed at $0.02 input and $0.04 output per 1M tokens. Headline tracked benchmarks include Google-Proof Q&A 57.1, HellaSwag 91.8, and HumanEval 81.1.
Top use-case fit: coding, agents, and build tasks
Coding
Q/$ A1 relevant benchmark in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Classification
Q/$ A2 relevant benchmarks 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 |
|---|---|---|---|
| DeepInfra | $0.020 | $0.040 | Serverless |
| Microsoft Foundry | $0.300 | $0.300 | Provisioned |
| Arcee AI | $0.150 | $0.450 | Serverless |
| Replicate API | $0.450 | $0.450 | Serverless |
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
Benchmark scores(4)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Google-Proof Q&A | 57.1 | diamond | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| HellaSwag | 91.8 | 10-shot | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| HumanEval | 81.1 | pass@1 | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| Massive Multitask Language Understanding | 81.5 | 5-shot | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
Migration checks
No linked migration route is available for this model yet.