Compare/LFM2.5-8B-A1B vs gpt-oss-20B (high)

LFM2.5-8B-A1Bvsgpt-oss-20B (high)

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

Liquid AI

LFM2.5-8B-A1B

Input
$0/M
Output
$0/M
Speed
TTFT
OpenAI

gpt-oss-20B (high)

Input
$0.05/M
Output
$0.2/M
Speed
267 tok/s
TTFT
0.43s

Winner by Category

Cheaper
LFM2.5-8B-A1B
Faster (tok/s)
gpt-oss-20B (high)
Lower Latency
LFM2.5-8B-A1B
Benchmarks (0-11)
gpt-oss-20B (high)

Pricing Comparison

MetricLFM2.5-8B-A1Bgpt-oss-20B (high)
Input ($/M tokens)$0$0.05
Output ($/M tokens)$0$0.2
Cost for 1M input + 100K output tokens:
LFM2.5-8B-A1B$0.00
gpt-oss-20B (high)$0.07

Speed Comparison

Output Speed (tokens/s) — higher is better
LFM2.5-8B-A1B
gpt-oss-20B (high)
267 tok/s
Time to First Token (seconds) — lower is better
LFM2.5-8B-A1B
gpt-oss-20B (high)
0.43s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
24.5
Coding Index
5.618.5
Math Index
89.3
GPQA Diamond
51.3%68.8%
MMLU-Pro
74.8%
LiveCodeBench
77.7%
AIME 2025
89.3%
MATH-500
Humanity's Last Exam
6.9%9.8%
SciCode
7.8%34.4%
IFBench
55.6%65.1%
TerminalBench
4.5%10.6%
LFM2.5-8B-A1B0 wins
11 winsgpt-oss-20B (high)

Frequently Asked Questions

Which is cheaper, LFM2.5-8B-A1B or gpt-oss-20B (high)?

LFM2.5-8B-A1B is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $0.09/M for gpt-oss-20B (high).

Which model performs better on benchmarks?

gpt-oss-20B (high) wins 11 out of 12 benchmarks compared to 0 for LFM2.5-8B-A1B. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

gpt-oss-20B (high) generates tokens faster at 267 tok/s vs 0 tok/s. LFM2.5-8B-A1B also has lower time-to-first-token (0.00s vs 0.43s).

When should I use LFM2.5-8B-A1B vs gpt-oss-20B (high)?

Choose based on your priorities: LFM2.5-8B-A1B for lower cost, gpt-oss-20B (high) for stronger benchmark performance, and gpt-oss-20B (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.