Saba
mistral/saba제공: Mistral · 패밀리: mistral · 출시 2025-02-17 · 지식 컷오프: 2024-09-30
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
기능
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.
Coding63
- Tool calling40/40
- Structured output20/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability3/10
Agents78
- Tool calling35/35
- Structured output25/25
- Reasoning0/15
- Output token limit15/15
- Provider availability3/10
JSON / structured output98
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume18/20
Cost efficiency65
- Headline price (log-scaled)65/95
- 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 | $1.29 < $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 | $2.58 < $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 | $0.70 < $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 | $2.19 < $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 | $2.74 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
가격 상세
추천 가격 제공자: nano-gpt · mistralai/mistral-saba
3곳 제공사에서 이용 가능
| 제공자 | 제공자 모델 ID | 입력 / 1M | 출력 / 1M | 컨텍스트 | 출시일 |
|---|---|---|---|---|---|
| OpenRouter openrouter | mistralai/mistral-saba | $0.200 | $0.600 | 33K | 2025-02-17 |
| NanoGPT nano-gpt | mistralai/mistral-saba | $0.199 | $0.595 | 32K | 2025-02-17 |
| Kilo Gateway kilo | mistralai/mistral-saba | $0.200 | $0.600 | 33K | 2025-02-17 |
제공자 간 데이터 불일치
- context_window varies: 32000, 32768
- modalities varies across offerings
제공자별로 이 모델의 값이 다릅니다. 위의 핵심 정보는 대표 제공자 기준이며, 제공자별 상세는 표를 참고하세요.
Frequently asked questions
How much does Saba cost?
Saba costs $0.199 per 1M input tokens and $0.595 per 1M output tokens, sourced from nano-gpt. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Saba?
Saba 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 Saba support tool calling?
Yes. Saba 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 Saba support structured output / JSON mode?
Yes. Saba 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 Saba accept image input?
No. Saba only accepts text, pdf as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Saba open-weight?
No. Saba is a proprietary model — only Mistral (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Saba?
If Saba doesn't fit, consider Mistral Nemo, Mistral Nemo, Mistral Large 2.1. 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 Nemo$0.02 in / $0.04 out
- Mistral Large 2.1$2.00 in / $6.00 out
- Mistral Large 3$0.50 in / $1.50 out
- Mistral Small 3.2 24b Instruct$0.10 in / $0.31 out
Capability lists this model is in
마지막 업데이트:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.