Model Comparison

Qwen3.8 Max (0902)
vs. M (Reasoning, Based on Mistral Small 3.1)

Comparing 2 AI models · 0 benchmarks · Alibaba, Sarvam

Recommended Pick

Sarvam logoM (Reasoning, Based on Mistral Small 3.1)2 metric wins

Strongest on: Input price, Output price

Lowest Price

Sarvam logo

M (Reasoning, Based on Mistral Small 3.1)

$0.00/1M input price

Differences That Matter

Price gap

M (Reasoning, Based on Mistral Small 3.1) is ∞x cheaper on input tokens than Qwen3.8 Max (0902).

Top-pick rationale

M (Reasoning, Based on Mistral Small 3.1) wins 2 measurable categories, including Input price, Output price.

Live compare

Response Face-Off

Run one prompt through the selected models and compare response quality with live speed and cost context.

10 comparisons left in 24h
Alibaba logo

Qwen3.8 Max (0902)

Alibaba

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Sarvam logo

M (Reasoning, Based on Mistral Small 3.1)

Sarvam

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Which answer was more useful?

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Full Comparison

Metric
Alibaba logoQwen3.8 Max (0902)
Alibaba
Top Pick
Sarvam logoM (Reasoning, Based on Mistral Small 3.1)
Sarvam
Pricing per 1M tokens
Input Cost$2.00/1M$0.00/1M
Output Cost$6.00/1M$0.00/1M
Blended (3:1)$3.00/1M—
Specifications
OrganizationAlibabaSarvam
Release DateSep 2, 2026May 23, 2025
Performance & Speed
Throughput40.1 tok/s—
TTFT2960ms—
Latency52880ms—
Composite Indices
Value Score100.0—
Reasoning Score33.7—
Intelligence33.7—

Key Takeaways

M (Reasoning, Based on Mistral Small 3.1) offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.

All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.

When to Choose Each Model

Alibaba logo

Qwen3.8 Max (0902)

  • General-purpose AI
  • Versatile applications
Sarvam logo

M (Reasoning, Based on Mistral Small 3.1)

  • Cost-sensitive applications
  • High-volume processing