Compare/Gemini 1.5 Flash-8B vs gpt-oss-20B (low)

Gemini 1.5 Flash-8Bvsgpt-oss-20B (low)

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

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Gemini 1.5 Flash-8B

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

gpt-oss-20B (low)

Input
$0.06/M
Output
$0.2/M
Speed
265 tok/s
TTFT
0.42s

Winner by Category

Cheaper
Gemini 1.5 Flash-8B
Faster (tok/s)
gpt-oss-20B (low)
Lower Latency
Gemini 1.5 Flash-8B
Benchmarks (1-11)
gpt-oss-20B (low)

Pricing Comparison

MetricGemini 1.5 Flash-8Bgpt-oss-20B (low)
Input ($/M tokens)$0$0.06
Output ($/M tokens)$0$0.2
Cost for 1M input + 100K output tokens:
Gemini 1.5 Flash-8B$0.00
gpt-oss-20B (low)$0.08

Speed Comparison

Output Speed (tokens/s) — higher is better
Gemini 1.5 Flash-8B
gpt-oss-20B (low)
265 tok/s
Time to First Token (seconds) — lower is better
Gemini 1.5 Flash-8B
gpt-oss-20B (low)
0.42s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
11.120.8
Coding Index
14.4
Math Index
62.3
GPQA Diamond
35.9%61.1%
MMLU-Pro
56.9%71.8%
LiveCodeBench
21.7%65.2%
AIME 2025
62.3%
MATH-500
68.9%
Humanity's Last Exam
4.5%5.1%
SciCode
22.9%34.0%
IFBench
57.8%
TerminalBench
4.5%
Gemini 1.5 Flash-8B1 wins
11 winsgpt-oss-20B (low)

Frequently Asked Questions

Which is cheaper, Gemini 1.5 Flash-8B or gpt-oss-20B (low)?

Gemini 1.5 Flash-8B is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $0.10/M for gpt-oss-20B (low).

Which model performs better on benchmarks?

gpt-oss-20B (low) wins 11 out of 12 benchmarks compared to 1 for Gemini 1.5 Flash-8B. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

gpt-oss-20B (low) generates tokens faster at 265 tok/s vs 0 tok/s. Gemini 1.5 Flash-8B also has lower time-to-first-token (0.00s vs 0.42s).

When should I use Gemini 1.5 Flash-8B vs gpt-oss-20B (low)?

Choose based on your priorities: Gemini 1.5 Flash-8B for lower cost, gpt-oss-20B (low) for stronger benchmark performance, and gpt-oss-20B (low) for faster generation. For latency-sensitive apps, check the TTFT comparison above.