Model Comparison
Olmo 3 7B Think
vs. PALM-2
Comparing 2 AI models · 10 benchmarks · Allen Institute for AI, Google
Recommended Pick
Strongest on: Reasoning, Intelligence
Lowest Price
Olmo 3 7B Think
$0.00/1M input price
Best Reasoning
Olmo 3 7B Think
40.5 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
Olmo 3 7B Think leads PALM-2 by 37.3 points on reasoning.
Top-pick rationale
Olmo 3 7B Think wins 2 measurable categories, including Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Olmo 3 7B Think
Allen Institute for AI
TTFT
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Time
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tok/s
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Tokens
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Cost
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PALM-2
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick Al Olmo 3 7B Think | Go PALM-2 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Allen Institute for AI | |
| Release Date | Nov 20, 2025 | May 10, 2023 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 40.5 | 3.2 |
| Intelligence | 4.0 | 3.2 |
| Coding | — | 4.6 |
| Math | 70.7 | — |
| Standard Benchmarks | ||
| GPQA | 51.6% | — |
| MMLU Pro | 65.5% | — |
| HLE | 5.7% | — |
| LiveCodeBench | 61.7% | — |
| AIME 2025 | 70.7% | — |
| SciCode | 21.2% | — |
| LCR | 0.0% | — |
| IFBench | 41.5% | — |
| TAU-bench v2 | 0.0% | — |
| TerminalBench Hard | 0.8% | — |
Key Takeaways
Olmo 3 7B Think offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Olmo 3 7B Think has the strongest reasoning profile with a 40.5 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
Olmo 3 7B Think
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
PALM-2
- Code generation
- Software development