Magistral Small 2506
nvidia/magistral-small-2506By NVIDIA · released 2025-09-25
⚠ This is a community fine-tune or derivative — not an official vendor release.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capabilities
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.
Coding1
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability1/10
Agents16
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output0
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control0/10
- Price-friendly for high-volume0/20
Cost efficiency0
- Has published price0/100
Long context0
- Context ≥ 100K0/100
Production-readiness30
- Number of independent providers5/40
- Has published per-token price0/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)0/15
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.
This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.
Available on 1 providers
| Provider | Provider model id | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|---|
| Nvidia nvidia | mistralai/magistral-small-2506 | Unknown | Unknown | 33K | 2025-09-25 |
Frequently asked questions
How much does Magistral Small 2506 cost?
Magistral Small 2506 does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check NVIDIA's official pricing page for the most current rates.
What is the context window of Magistral Small 2506?
Magistral Small 2506 has a context window of 33K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.
Does Magistral Small 2506 support tool calling?
No. Magistral Small 2506 does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does Magistral Small 2506 support structured output / JSON mode?
No. Magistral Small 2506 does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can Magistral Small 2506 accept image input?
No. Magistral Small 2506 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Magistral Small 2506 open-weight?
No. Magistral Small 2506 is a proprietary model — only NVIDIA (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Magistral Small 2506?
If Magistral Small 2506 doesn't fit, consider Nemotron 3 Super, nemotron-3-nano-30b-a3b, nvidia-nemotron-nano-9b-v2. 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 come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
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- nvidia-nemotron-nano-9b-v2$0.04 in / $0.16 out
- Llama 3.3 Nemotron Super 49B v1.5$0.05 in / $0.25 out
- Llama 3.3 Nemotron Super 49B v1$0.15 in / $0.15 out
Last updated:
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.