Compare/GPT-4o mini vs Olmo 3.1 32B Instruct

GPT-4o minivsOlmo 3.1 32B Instruct

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

OpenAI

GPT-4o mini

Input
$0.15/M
Output
$0.6/M
Speed
49 tok/s
TTFT
0.51s
Allen Institute for AI

Olmo 3.1 32B Instruct

Input
$0.2/M
Output
$0.6/M
Speed
56 tok/s
TTFT
0.26s

Winner by Category

Cheaper
GPT-4o mini
Faster (tok/s)
Olmo 3.1 32B Instruct
Lower Latency
Olmo 3.1 32B Instruct
Benchmarks (7-5)
GPT-4o mini

Pricing Comparison

MetricGPT-4o miniOlmo 3.1 32B Instruct
Input ($/M tokens)$0.15$0.2
Output ($/M tokens)$0.6$0.6
Cost for 1M input + 100K output tokens:
GPT-4o mini$0.21
Olmo 3.1 32B Instruct$0.26

Speed Comparison

Output Speed (tokens/s) — higher is better
GPT-4o mini
49 tok/s
Olmo 3.1 32B Instruct
56 tok/s
Time to First Token (seconds) — lower is better
GPT-4o mini
0.51s
Olmo 3.1 32B Instruct
0.26s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
12.612.2
Coding Index
5.6
Math Index
14.7
GPQA Diamond
42.6%53.9%
MMLU-Pro
64.8%
LiveCodeBench
23.4%
AIME 2025
14.7%
MATH-500
78.9%
Humanity's Last Exam
4.0%4.9%
SciCode
22.9%16.7%
IFBench
31.0%39.2%
TerminalBench
0.0%
GPT-4o mini7 wins
5 winsOlmo 3.1 32B Instruct

Frequently Asked Questions

Which is cheaper, GPT-4o mini or Olmo 3.1 32B Instruct?

GPT-4o mini is cheaper overall. Its blended price (3:1 input/output ratio) is $0.26/M tokens vs $0.30/M for Olmo 3.1 32B Instruct.

Which model performs better on benchmarks?

GPT-4o mini wins 7 out of 12 benchmarks compared to 5 for Olmo 3.1 32B Instruct. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Olmo 3.1 32B Instruct generates tokens faster at 56 tok/s vs 49 tok/s. However, Olmo 3.1 32B Instruct has lower time-to-first-token (0.26s vs 0.51s).

When should I use GPT-4o mini vs Olmo 3.1 32B Instruct?

Choose based on your priorities: GPT-4o mini for lower cost, GPT-4o mini for stronger benchmark performance, and Olmo 3.1 32B Instruct for faster generation. For latency-sensitive apps, check the TTFT comparison above.