Mistral 7B Instruct v0.3
mistral/7b-instruct-v0-3Por Mistral · familia: mistral · lanzado 2024-05-22
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacidades
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.
Coding43
- Tool calling40/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability3/10
Agents53
- Tool calling35/35
- Structured output0/25
- Reasoning0/15
- Output token limit15/15
- Provider availability3/10
JSON / structured output50
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume20/20
Cost efficiency78
- Headline price (log-scaled)78/95
- Has prompt-cache pricing0/5
Long context0
- Context ≥ 100K0/100
Production-readiness71
- Number of independent providers15/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- 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 | $0.60 < $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 | $1.21 < $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 | $0.28 < $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 | $0.99 < $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 | $1.39 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Detalle de precios
Precio recomendado de ovhcloud · mistral-7b-instruct-v0.3
Disponible en 3 proveedores
| Proveedor | ID de modelo del proveedor | Entrada / 1M | Salida / 1M | Contexto | Lanzado |
|---|---|---|---|---|---|
| DigitalOcean digitalocean | mistral-7b-instruct-v0.3 | Unknown | Unknown | 33K | 2024-05-22 |
| Pioneer pioneer | mistralai/Mistral-7B-Instruct-v0.3 | $0.200 | $0.200 | 33K | 2023-04-30 |
| OVHcloud AI Endpoints ovhcloud | mistral-7b-instruct-v0.3 | $0.110 | $0.110 | 66K | 2025-04-01 |
Inconsistencias de datos entre proveedores
- context_window varies: 32768, 65536
- release_date varies (span 702d): 2023-04-30, 2024-05-22, 2025-04-01
Los proveedores reportan valores distintos para este modelo. Los datos clave de arriba usan un proveedor representativo; consulta la tabla para detalles por proveedor.
Frequently asked questions
How much does Mistral 7B Instruct v0.3 cost?
Mistral 7B Instruct v0.3 costs $0.110 per 1M input tokens and $0.110 per 1M output tokens, sourced from ovhcloud. 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 7B Instruct v0.3?
Mistral 7B Instruct v0.3 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 Mistral 7B Instruct v0.3 support tool calling?
Yes. Mistral 7B Instruct v0.3 supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Mistral 7B Instruct v0.3 support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Mistral 7B Instruct v0.3 in our data source. Verify with Mistral's official documentation before relying on it in production.
Can Mistral 7B Instruct v0.3 accept image input?
No. Mistral 7B Instruct v0.3 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Mistral 7B Instruct v0.3 open-weight?
Yes. Mistral 7B Instruct v0.3'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 7B Instruct v0.3?
If Mistral 7B Instruct v0.3 doesn't fit, consider Mistral Nemo, Mistral Large 3, Devstral 2. 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 Nemo$0.15 in / $0.15 out
- Mistral Large 3$0.50 in / $1.50 out
- Devstral 2$0.40 in / $2.00 out
- Mistral Large 2.1$2.00 in / $6.00 out
- Mistral Nemo Instruct$0.02 in / $0.03 out
Capability lists this model is in
Última actualización:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.