Pixtral Large (25.02) (Amazon Bedrock)
edenai/pixtral-large-2502提供： edenai · ファミリー: pixtral · リリース 2025-04-08
⚠ これはコミュニティのファインチューン / 派生モデルで、ベンダーの公式リリースではありません。
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
機能一覧
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)2/20
- Provider availability1/10
Agents41
- Tool calling35/35
- Structured output0/25
- Reasoning0/15
- Output token limit5/15
- Provider availability1/10
JSON / structured output34
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume4/20
Cost efficiency40
- Headline price (log-scaled)40/95
- Has prompt-cache pricing0/5
Long context45
- Context window (100K → 2M)35/90
- Has published price for full window10/10
Production-readiness50
- Number of independent providers5/40
- Has published per-token price20/20
- 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.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $13.00 $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 | $26.00 < $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 | $7.00 < $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 | $22.00 $0.02 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $27.60 $0.03 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
料金詳細
推奨料金 (提供元): edenai · amazon/mistral.pixtral-large-2502-v1:0
1 か所で利用可能
| プロバイダー | プロバイダーモデルID | 入力 / 1M | 出力 / 1M | コンテキスト | リリース日 |
|---|---|---|---|---|---|
| Eden AI edenai | amazon/mistral.pixtral-large-2502-v1:0 | $2.00 | $6.00 | 128K | 2025-04-08 |
Frequently asked questions
How much does Pixtral Large (25.02) (Amazon Bedrock) cost?
Pixtral Large (25.02) (Amazon Bedrock) costs $2.00 per 1M input tokens and $6.00 per 1M output tokens, sourced from edenai. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Pixtral Large (25.02) (Amazon Bedrock)?
Pixtral Large (25.02) (Amazon Bedrock) has a context window of 128K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.
Does Pixtral Large (25.02) (Amazon Bedrock) support tool calling?
Yes. Pixtral Large (25.02) (Amazon Bedrock) 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 Pixtral Large (25.02) (Amazon Bedrock) support structured output / JSON mode?
No. Pixtral Large (25.02) (Amazon Bedrock) does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can Pixtral Large (25.02) (Amazon Bedrock) accept image input?
No. Pixtral Large (25.02) (Amazon Bedrock) only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Pixtral Large (25.02) (Amazon Bedrock) open-weight?
No. Pixtral Large (25.02) (Amazon Bedrock) is a proprietary model — only edenai (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Pixtral Large (25.02) (Amazon Bedrock)?
If Pixtral Large (25.02) (Amazon Bedrock) doesn't fit, consider GPT OSS 120B (FlexAI), Muse Glimmer 30B (Deep Infra), Inkling (Deep Infra). 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 edenai models
- GPT OSS 120B (FlexAI)$0.03 in / $0.17 out
- Muse Glimmer 30B (Deep Infra)$0.30 in / $1.20 out
- Inkling (Deep Infra)$0.95 in / $4.05 out
- GPT OSS 20B (FlexAI)$0.02 in / $0.10 out
- Hy3 (Deep Infra)$0.13 in / $0.53 out
Capability lists this model is in
最終更新：
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.