Jamba Large 1.7 vs o3

Jamba Large 1.7 at $2.30 in and $9.20 out and o3 at $2.30 in and $9.20 out — per million tokens, from the same wallet.

Jamba Large 1.7

AI21 Labs

1.9¢

for a client proposal

$2.30 in · $9.20 out / 1M

256K context · released August 2025

Full page →

OpenAI

1.9¢

for a client proposal

$2.30 in · $9.20 out / 1M

200K context · released April 2025

Full page →

Asking all both at once — identical prompt, identical context — costs about 3.8¢ for a typical client proposal.

At a glance

All 2 cost the same on input.
Largest context: Jamba Large 1.7 at 256K tokens — about 370 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

Jamba Large 1.7

0.92¢

Draft a client proposal from notes

5K in · 800 out

Jamba Large 1.7

1.9¢

Context-heavy session (Alyph workspace)

155K in · 4K out

Jamba Large 1.7

$0.39

Analyze a 50-page legal contract

35K in · 1K out

Jamba Large 1.7

$0.09

Large architecture refactor

250K in · 3K out

Jamba Large 1.7

$0.60

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

Jamba Large 1.7

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

Pricing

Jamba Large 1.7

Input / 1M tokens

$2.30

Output / 1M tokens

$9.20

Cached input / 1M

—

$0.575

Web search

—

1.1¢ / search

Specs

Jamba Large 1.7

Provider

AI21 Labs

OpenAI

Released

August 2025

April 2025

Context window

256K

200K

Max output

100K

Input

Text

Images, Text, and Files

Output

Text

Reasoning

Answers directly

Shows its thinking

Knowledge cutoff

2024-08-31

2024-06-30

Try it with real numbers

2K tokens in · 500 tokens out.

Jamba Large 1.7

AI21 Labs

0.92¢

for this task

50% input · 50% output

Full pricing →

OpenAI

0.92¢

for this task

50% input · 50% output

Full pricing →

All 2, same prompt and context: 1.8¢. That is the entire cost of the comparison.

Your $5 welcome credit covers about 271 of these.

Which should you pick?

For long documents, Jamba Large 1.7 has the largest context window here — 256K tokens.

On price they are identical: about 1.9¢ for a typical task each.

For images or files, o3 can read them directly; Jamba Large 1.7 is text-only.

If you want to watch the model think, o3 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 →

Jamba Large 1.7 pricing →o3 pricing →Add Lyria 3 Clip Preview Add Grok 4.20

Questions, answered

Which is cheaper, Jamba Large 1.7 or o3?

On a typical client proposal (5K tokens in, 800 out) they cost the same — about 1.9¢ each. Compare them on context and capabilities instead.

Which has the largest context window?

Jamba Large 1.7 — 256K tokens, about 370 pages.

Can I run Jamba Large 1.7 and o3 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 3.8¢ for a typical task.

Ask both at once

Identical prompt, identical context, answers side by side — about 3.8¢ for a typical client proposal. Free to start, with $5 of credit.