Model Comparison

Qwen3 VL 235B A22B Instruct
vs. M (Reasoning)

Comparing 2 AI models · 0 benchmarks · Alibaba, Sarvam

Recommended Pick

Alibaba logoQwen3 VL 235B A22B Instruct2 metric wins

Strongest on: Reasoning, Intelligence

Lowest Price

Sarvam logo

M (Reasoning)

$0.00/1M input price

Best Reasoning

Alibaba logo

Qwen3 VL 235B A22B Instruct

14.4 reasoning score

Blends available reasoning benchmarks

Differences That Matter

Price gap

M (Reasoning) is ∞x cheaper on input tokens than Qwen3 VL 235B A22B Instruct.

Reasoning gap

Qwen3 VL 235B A22B Instruct leads M (Reasoning) by 11.8 points on reasoning.

Top-pick rationale

Qwen3 VL 235B A22B Instruct wins 2 measurable categories, including Reasoning, Intelligence.

Live compare

Response Face-Off

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

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Alibaba logo

Qwen3 VL 235B A22B Instruct

Alibaba

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TTFT

Time

tok/s

Tokens

Cost

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Sarvam logo

M (Reasoning)

Sarvam

Waiting

TTFT

Time

tok/s

Tokens

Cost

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Full Comparison

Metric
Top Pick
Alibaba logoQwen3 VL 235B A22B Instruct
Alibaba
Sarvam logoM (Reasoning)
Sarvam
Pricing per 1M tokens
Input Cost$0.40/1M$0.00/1M
Output Cost$1.60/1M$0.00/1M
Blended (3:1)$0.70/1M
Specifications
OrganizationAlibabaSarvam
Release DateSep 23, 2025May 23, 2025
Performance & Speed
Throughput52.1 tok/s
TTFT2700ms
Latency2700ms
Composite Indices
Value Score100.0
Reasoning Score14.42.6
Intelligence14.42.6

Key Takeaways

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

Qwen3 VL 235B A22B Instruct has the strongest reasoning profile with a 14.4 reasoning score,combining the available reasoning-heavy benchmarks.

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

When to Choose Each Model

Alibaba logo

Qwen3 VL 235B A22B Instruct

  • Complex reasoning tasks
  • Research & analysis
Sarvam logo

M (Reasoning)

  • Cost-sensitive applications
  • High-volume processing