All models

Llama 3.2 1B Instruct vs gpt-oss-20b

Llama 3.2 1B Instruct at $0.031 in and $0.231 out and gpt-oss-20b at $0.035 in and $0.149 out — per million tokens, from the same wallet.

M

Llama 3.2 1B Instruct

Meta

0.03¢

for a client proposal

$0.031 in · $0.231 out / 1M

60K context · released September 2024

Full page →

gpt-oss-20b

OpenAI

0.03¢

for a client proposal

$0.035 in · $0.149 out / 1M

131K context · released August 2025

Full page →

Asking all both at once — identical prompt, identical context — costs about 0.06¢ for a typical client proposal.

At a glance

  • Cheapest input: Llama 3.2 1B Instruct at $0.031 per million tokens.
  • Cheapest output: gpt-oss-20b at $0.149 per million tokens.
  • Largest context: gpt-oss-20b at 131K tokens — about 190 pages.

Cost per task

Estimated totals at the rates above. Solid bar is input, lighter bar is output.

Quick code fix

2K in · 500 out
Llama 3.2 1B Instruct
0.02¢
gpt-oss-20b
0.01¢

Draft a client proposal from notes

5K in · 800 out
Llama 3.2 1B Instruct
0.03¢
gpt-oss-20b
0.03¢

Context-heavy session (Alyph workspace)

155K in · 4K out
Llama 3.2 1B Instruct
needs 155K ctx
gpt-oss-20b
needs 155K ctx

Analyze a 50-page legal contract

35K in · 1K out
Llama 3.2 1B Instruct
0.13¢
gpt-oss-20b
0.14¢

Large architecture refactor

250K in · 3K out
Llama 3.2 1B Instruct
needs 250K ctx
gpt-oss-20b
needs 250K ctx

Solid part of each bar is input tokens, the lighter part is output. Models that don’t fit a task are marked instead of priced.

Cost vs Token Amount

Drag the slider to adjust the split between input and output workload.

80% Input20% Output
free3.6¢$0.070 tokens250k500k750k1000k
Llama 3.2 1B Instruct
gpt-oss-20b

Adjust the ratio slider to change how output tokens influence the final price for equivalent workloads.

Pricing

Llama 3.2 1B Instruct
gpt-oss-20b
Input / 1M tokens
$0.031
$0.035
Output / 1M tokens
$0.231
$0.149
Cached input / 1M
—
$0.035

Specs

Llama 3.2 1B Instruct
gpt-oss-20b
Provider
Meta
OpenAI
Released
September 2024
August 2025
Context window
60K
131K
Max output
60K
131K
Input
Text
Text
Output
Text
Text
Reasoning
Answers directly
Shows its thinking
Knowledge cutoff
2023-12-31
2024-06-30

Try it with real numbers

2K tokens in · 500 tokens out.

Llama 3.2 1B Instruct

Meta

0.02¢

for this task

35% input · 65% output

Full pricing →

gpt-oss-20b

OpenAI

0.01¢

for this task

48% input · 52% output

Full pricing →

All 2, same prompt and context: 0.03¢. That is the entire cost of the comparison.

Your $5 welcome credit covers about 15,555 of these.

Which should you pick?

For long documents, gpt-oss-20b has the largest context window here — 131K tokens.

On price, gpt-oss-20b is the cheapest of the two on a typical task, at about 0.03¢.

If you want to watch the model think, gpt-oss-20b shows reasoning; the other answers directly.

Or don’t pick. Send the identical prompt to all both, read the answers side by side, and keep the winner. How to run a fair bake-off →

Llama 3.2 1B Instruct pricing →gpt-oss-20b pricing →Add Lyria 3 Clip PreviewAdd Grok 4.20

Questions, answered

Which is cheaper, Llama 3.2 1B Instruct or gpt-oss-20b?

On a typical client proposal (5K tokens in, 800 out): gpt-oss-20b at 0.03¢; Llama 3.2 1B Instruct at 0.03¢. Long prompts can change the order when long-context rates apply.

Which has the largest context window?

gpt-oss-20b — 131K tokens, about 190 pages.

Can I run Llama 3.2 1B Instruct and gpt-oss-20b side by side on Alyph?

Yes — that is what Alyph is built for: the identical prompt with identical context to all 2, answers rendered side by side, billed from one wallet. This exact combination costs about 0.06¢ for a typical task.

Ask both at once

Identical prompt, identical context, answers side by side — about 0.06¢ for a typical client proposal. Free to start, with $5 of credit.

Sign up free Try the demo