Model Comparison

OLMo 2 32B
vs. Phi-4

Comparing 2 AI models · 12 benchmarks · Allen Institute for AI, Microsoft

Recommended Pick

Microsoft logoPhi-410 metric wins

Strongest on: Throughput, Reasoning, Math

Lowest Price

Allen Institute for AI logo

OLMo 2 32B

$0.00/1M input price

Best Reasoning

Microsoft logo

Phi-4

28.3 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

OLMo 2 32B is ∞x cheaper on input tokens than Phi-4.

Reasoning gap

Phi-4 leads OLMo 2 32B by 18.6 points on reasoning.

Top-pick rationale

Phi-4 wins 10 measurable categories, including Throughput, Reasoning, Math, GPQA.

Live compare

Response Face-Off

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

Allen Institute for AI logo

OLMo 2 32B

Allen Institute for AI

Waiting

TTFT

Time

tok/s

Tokens

Cost

Waiting
Microsoft logo

Phi-4

Microsoft

Waiting

TTFT

Time

tok/s

Tokens

Cost

Waiting

Which answer was more useful?

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Full Comparison

Metric
Allen Institute for AI logoOLMo 2 32B
Allen Institute for AI
Top Pick
Microsoft logoPhi-4
Microsoft
Pricing per 1M tokens
Input Cost$0.00/1M$0.13/1M
Output Cost$0.00/1M$0.50/1M
Blended (3:1)$0.22/1M
Specifications
OrganizationAllen Institute for AIMicrosoft
Release DateMar 13, 2025Dec 12, 2024
Performance & Speed
Throughput25.2 tok/s
TTFT584ms
Latency584ms
Composite Indices
Value Score100.0
Reasoning Score9.628.3
Intelligence5.04.9
Math3.318.0
Standard Benchmarks
GPQA32.8%57.5%
MMLU Pro51.1%71.4%
HLE3.7%4.1%
LiveCodeBench6.8%23.1%
MATH 50081.0%
AIME 20253.3%18.0%
AIME (Original)14.3%
SciCode8.0%26.0%
LCR0.0%0.0%
IFBench38.1%23.5%
TAU-bench v20.0%0.0%
TerminalBench Hard0.0%3.8%

Key Takeaways

OLMo 2 32B offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.

Phi-4 has the strongest reasoning profile with a 28.3 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

Allen Institute for AI logo

OLMo 2 32B

  • Cost-sensitive applications
  • High-volume processing
Microsoft logo

Phi-4

  • Complex reasoning tasks
  • Research & analysis