Mistral-7B-Instruct-v0.3
mistral/7b-instruct-v0-3Von Mistral · Familie: mistral · veröffentlicht 2025-04-01
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.
Coding65
- Tool calling40/40
- Structured output20/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability5/10
Agents80
- Tool calling35/35
- Structured output25/25
- Reasoning0/15
- Output token limit15/15
- Provider availability5/10
JSON / structured output100
- Structured output / JSON mode50/50
- 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-readiness81
- Number of independent providers25/40
- 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. |
Preis-Details
Empfohlene Preise von ovhcloud · mistral-7b-instruct-v0.3
Günstigster Anbieter: nvidia · Unknown Eingabe + Unknown Ausgabe
Bei 5 Anbietern verfügbar
| Anbieter | Anbieter-Modell-ID | Eingabe / 1M | Ausgabe / 1M | Kontext | Veröffentlicht |
|---|---|---|---|---|---|
| Nvidia nvidia | mistralai/mistral-7b-instruct-v0.3 | Unknown | Unknown | 66K | 2025-04-01 |
| Cortecs cortecs | mistral-7b-instruct-v0.3 | $0.111 | $0.111 | 127K | 2025-05-26 |
| OVHcloud AI Endpoints ovhcloud | mistral-7b-instruct-v0.3 | $0.110 | $0.110 | 66K | 2025-04-01 |
| 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 |
Datenunterschiede zwischen Anbietern
- context_window varies: 127000, 32768, 65536
- release_date varies (span 757d): 2023-04-30, 2024-05-22, 2025-04-01, 2025-05-26
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-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 66K tokens, with a max output of 66K 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?
Yes. Mistral-7B-Instruct-v0.3 supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
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 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
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- Mistral Small 4$0.15 in / $0.60 out
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- Mistral Nemo Instruct 2407$0.02 in / $0.03 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.