Model Comparison

Ring-flash-2.0
vs. M (Reasoning)

Comparing 2 AI models · 12 benchmarks · InclusionAI, Sarvam

Recommended Pick

InclusionAI logoRing-flash-2.09 metric wins

Strongest on: Reasoning, Intelligence, GPQA

Lowest Price

Sarvam logo

M (Reasoning)

$0.00/1M input price

Best Reasoning

InclusionAI logo

Ring-flash-2.0

51.4 reasoning score

Blends available reasoning benchmarks

Composite Indices

Higher is better; speed and price are normalized

Standard Benchmarks

Only benchmarks with data are shown

Differences That Matter

Price gap

M (Reasoning) is ∞x cheaper on input tokens than Ring-flash-2.0.

Reasoning gap

Ring-flash-2.0 leads M (Reasoning) by 20.8 points on reasoning.

Top-pick rationale

Ring-flash-2.0 wins 9 measurable categories, including Reasoning, Intelligence, GPQA, MMLU Pro.

Live compare

Response Face-Off

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

InclusionAI logo

Ring-flash-2.0

InclusionAI

Waiting

TTFT

Time

tok/s

Tokens

Cost

Waiting
Sarvam logo

M (Reasoning)

Sarvam

Waiting

TTFT

Time

tok/s

Tokens

Cost

Waiting

Which answer was more useful?

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Full Comparison

Metric
Top Pick
InclusionAI logoRing-flash-2.0
InclusionAI
Sarvam logoM (Reasoning)
Sarvam
Pricing per 1M tokens
Input Cost$0.14/1M$0.00/1M
Output Cost$0.57/1M$0.00/1M
Blended (3:1)$0.25/1M
Specifications
OrganizationInclusionAISarvam
Release DateSep 19, 2025May 23, 2025
Performance & Speed
Throughput
TTFT
Latency
Composite Indices
Value Score100.0
Reasoning Score51.430.6
Intelligence8.23.0
Math83.7
Standard Benchmarks
GPQA72.5%41.6%
MMLU Pro79.3%69.6%
HLE8.9%3.3%
LiveCodeBench62.8%29.5%
MATH 50084.7%
AIME 202583.7%
AIME (Original)20.3%
SciCode16.8%17.8%
LCR21.0%0.0%
IFBench43.3%31.8%
TAU-bench v20.0%0.0%
TerminalBench Hard7.6%2.3%

Key Takeaways

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

Ring-flash-2.0 has the strongest reasoning profile with a 51.4 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

InclusionAI logo

Ring-flash-2.0

  • Complex reasoning tasks
  • Research & analysis
Sarvam logo

M (Reasoning)

  • Cost-sensitive applications
  • High-volume processing