Mistral Nemo
mistral/nemo-instruct-2407Von Mistral · Familie: mistral-nemo · veröffentlicht 2024-07-01 · Wissensstand: 2024-07
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Fähigkeiten
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding7
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability7/10
Agents12
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit5/15
- Provider availability7/10
JSON / structured output20
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control0/10
- Price-friendly for high-volume20/20
Cost efficiency98
- Headline price (log-scaled)93/95
- Has prompt-cache pricing5/5
Long context0
- Context ≥ 100K0/100
Production-readiness84
- Number of independent providers35/40
- Has published per-token price20/20
- Context window ≥ 8K8/15
- No data inconsistencies across providers6/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $0.12 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $0.23 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.06 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $0.19 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $0.26 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Preis-Details
Empfohlene Preise von pioneer · mistralai/Mistral-Nemo-Instruct-2407
Bei 7 Anbietern verfügbar
| Anbieter | Anbieter-Modell-ID | Eingabe / 1M | Ausgabe / 1M | Kontext | Veröffentlicht |
|---|---|---|---|---|---|
| NanoGPT nano-gpt | mistralai/mistral-nemo-instruct-2407 | $0.100 | $0.121 | 16K | 2024-01-01 |
| Pioneer pioneer | mistralai/Mistral-Nemo-Instruct-2407 | $0.020 | $0.030 | 128K | 2024-07-01 |
| Meganova meganova | mistralai/Mistral-Nemo-Instruct-2407 | $0.020 | $0.040 | 131K | 2024-07-18 |
| OVHcloud AI Endpoints ovhcloud | mistral-nemo-instruct-2407 | $0.140 | $0.140 | 66K | 2024-11-20 |
| Cortecs cortecs | mistral-nemo-instruct-2407 | $0.145 | $0.145 | 128K | 2024-08-07 |
| IO.NET io-net | mistralai/Mistral-Nemo-Instruct-2407 | $0.020 | $0.040 | 128K | 2024-07-01 |
| DigitalOcean digitalocean | mistral-nemo-instruct-2407 | $0.300 | $0.300 | 128K | 2024-07-18 |
Datenunterschiede zwischen Anbietern
- context_window varies: 128000, 131072, 16384, 65536
- release_date varies (span 324d): 2024-01-01, 2024-07-01, 2024-07-18, 2024-08-07, 2024-11-20
Anbieter melden unterschiedliche Werte für dieses Modell. Die Schnellinfos oben nutzen den repräsentativen Anbieter; pro Anbieter siehe Tabelle.
Frequently asked questions
How much does Mistral Nemo cost?
Mistral Nemo costs $0.020 per 1M input tokens and $0.030 per 1M output tokens, sourced from pioneer. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Mistral Nemo?
Mistral Nemo has a context window of 16K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.
Does Mistral Nemo support tool calling?
No. Mistral Nemo does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does Mistral Nemo support structured output / JSON mode?
No. Mistral Nemo does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can Mistral Nemo accept image input?
No. Mistral Nemo only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Mistral Nemo open-weight?
Yes. Mistral Nemo's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to Mistral Nemo?
If Mistral Nemo doesn't fit, consider Mistral Large 3, Devstral 2, Mistral Small 4. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More Mistral models
- Mistral Large 3$0.50 in / $1.50 out
- Devstral 2$0.40 in / $2.00 out
- Mistral Small 4$0.15 in / $0.60 out
- Mistral Medium 3.5$1.50 in / $7.50 out
- Codestral 2508$0.30 in / $0.90 out
Capability lists this model is in
Zuletzt aktualisiert:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.