Model Comparison
PALM-2
vs. M (Reasoning)
Comparing 2 AI models · 11 benchmarks · Google, Sarvam
Recommended Pick
GoPALM-21 metric winsStrongest on: Intelligence
Lowest Price
PALM-2
$0.00/1M input price
Best Reasoning
M (Reasoning)
30.6 reasoning score
Blends available reasoning benchmarks
Best for Coding
PALM-2
4.6 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Reasoning gap
M (Reasoning) leads PALM-2 by 27.4 points on reasoning.
Top-pick rationale
PALM-2 wins 1 measurable categories, including Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
PALM-2
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
M (Reasoning)
Sarvam
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick Go PALM-2 | Sa M (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Sarvam | |
| Release Date | May 10, 2023 | May 23, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 3.2 | 30.6 |
| Intelligence | 3.2 | 3.0 |
| Coding | 4.6 | — |
| Standard Benchmarks | ||
| GPQA | — | 41.6% |
| MMLU Pro | — | 69.6% |
| HLE | — | 3.3% |
| LiveCodeBench | — | 29.5% |
| MATH 500 | — | 84.7% |
| AIME (Original) | — | 20.3% |
| SciCode | — | 17.8% |
| LCR | — | 0.0% |
| IFBench | — | 31.8% |
| TAU-bench v2 | — | 0.0% |
| TerminalBench Hard | — | 2.3% |
Key Takeaways
PALM-2 offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
M (Reasoning) has the strongest reasoning profile with a 30.6 reasoning score,combining the available reasoning-heavy benchmarks.
PALM-2 reaches a 4.6 coding index,making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
PALM-2
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
M (Reasoning)
- Complex reasoning tasks
- Research & analysis
