此模型已弃用。我们仅继续对默认的 10k 输入 token 工作负载进行性能测试。其他工作负载的结果为历史数据,不再更新。

Sarvam 已推出更新版本 Sarvam 30B。我们建议考虑使用该版本。

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Open weights model

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Released 2025年5月

Sarvam M (Reasoning, Based on Mistral Small 3.1) API 服务商基准测试与分析

模型比较

本分析旨在帮助你根据使用场景,选择 Sarvam M (Reasoning, Based on Mistral Small 3.1) 的最佳 API 服务商。

速度最快

输出速度

共 1 家服务商

延迟最低

首个答案 Token 延迟

共 1 家服务商

价格最低

#1
SarvamSarvam
$0.00

每 100 万 token 的混合价格

共 1 家服务商

可通过 Sarvam 使用 Sarvam M。

该模型暂无服务商基准测试数据。

有关模型详情及其与其他模型的智能比较,请参阅 Sarvam M (Reasoning, Based on Mistral Small 3.1) 的模型页面。

Output tokens per second · Higher is better
No data available
Seconds to first answer token received · Lower is better
No data available
USD per 1M tokens (blended) · Lower is better

价格

价格:缓存命中、输入和输出: Sarvam M (Reasoning, Based on Mistral Small 3.1)

Price (USD per M Tokens) · Lower is better · 10,000 input tokens

每项 Intelligence Index 任务的成本: Sarvam M (Reasoning, Based on Mistral Small 3.1)

Weighted average cost (USD) per Intelligence Index task · Segmented by token type · Lower is better
No data available

输出速度与价格: Sarvam M (Reasoning, Based on Mistral Small 3.1)

Blended at 7:2:1 (cache-input-output) · Output speed: output tokens per second · USD per 1M tokens (blended)
Most attractive quadrant
No data available

速度

按输出速度(每秒 token 数)衡量

输出速度: Sarvam M (Reasoning, Based on Mistral Small 3.1)

输出速度:每秒输出 token 数 · 10,000 input tokens
No data available

Intelligence Index 每项任务耗时: Sarvam M (Reasoning, Based on Mistral Small 3.1)

Weighted average decode time (minutes) per Intelligence Index task · Excludes TTFT and overhead time · Lower is better
No data available

每任务成本与每任务耗时: Sarvam M (Reasoning, Based on Mistral Small 3.1)

Weighted average cost (USD) per Intelligence Index task · Weighted average decode time (minutes) per Intelligence Index task
Most attractive quadrant
No data available

延迟

按首 Token 延迟(秒)衡量

首个答案 Token 延迟: Sarvam M (Reasoning, Based on Mistral Small 3.1)

Seconds to first token received · Lower is better · 10,000 input tokens
No data available

端到端响应时间

Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed

端到端响应时间: Sarvam M (Reasoning, Based on Mistral Small 3.1)

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · 10,000 input tokens
No data available

关键比较指标与 API 功能

Sarvam 标志Sarvam
8.19k
开放
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常见问题

关于 Sarvam M (Reasoning, Based on Mistral Small 3.1) 服务商的常见问题