Compare/Qwen2.5 Turbo vs Olmo 3 7B Instruct

Qwen2.5 TurbovsOlmo 3 7B Instruct

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

Alibaba

Qwen2.5 Turbo

Input
$0.05/M
Output
$0.2/M
Speed
68 tok/s
TTFT
1.06s
Allen Institute for AI

Olmo 3 7B Instruct

Input
$0.1/M
Output
$0.2/M
Speed
TTFT

Winner by Category

Cheaper
Qwen2.5 Turbo
Faster (tok/s)
Qwen2.5 Turbo
Lower Latency
Olmo 3 7B Instruct
Benchmarks (5-7)
Olmo 3 7B Instruct

Pricing Comparison

MetricQwen2.5 TurboOlmo 3 7B Instruct
Input ($/M tokens)$0.05$0.1
Output ($/M tokens)$0.2$0.2
Cost for 1M input + 100K output tokens:
Qwen2.5 Turbo$0.07
Olmo 3 7B Instruct$0.12

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen2.5 Turbo
68 tok/s
Olmo 3 7B Instruct
Time to First Token (seconds) — lower is better
Qwen2.5 Turbo
1.06s
Olmo 3 7B Instruct

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
12.08.2
Coding Index
3.4
Math Index
41.3
GPQA Diamond
41.0%40.0%
MMLU-Pro
63.3%52.2%
LiveCodeBench
16.3%26.6%
AIME 2025
41.3%
MATH-500
80.5%
Humanity's Last Exam
4.2%5.8%
SciCode
15.3%10.3%
IFBench
32.8%
TerminalBench
0.0%
Qwen2.5 Turbo5 wins
7 winsOlmo 3 7B Instruct

Frequently Asked Questions

Which is cheaper, Qwen2.5 Turbo or Olmo 3 7B Instruct?

Qwen2.5 Turbo is cheaper overall. Its blended price (3:1 input/output ratio) is $0.09/M tokens vs $0.13/M for Olmo 3 7B Instruct.

Which model performs better on benchmarks?

Olmo 3 7B Instruct wins 7 out of 12 benchmarks compared to 5 for Qwen2.5 Turbo. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen2.5 Turbo generates tokens faster at 68 tok/s vs 0 tok/s. However, Olmo 3 7B Instruct has lower time-to-first-token (0.00s vs 1.06s).

When should I use Qwen2.5 Turbo vs Olmo 3 7B Instruct?

Choose based on your priorities: Qwen2.5 Turbo for lower cost, Olmo 3 7B Instruct for stronger benchmark performance, and Qwen2.5 Turbo for faster generation. For latency-sensitive apps, check the TTFT comparison above.