gpt-5.6-luna vs gpt-5.6-sol

gpt-5.6-luna costs a fraction of what gpt-5.6-sol does: $0.20 against $4.00 per 1M for input, $1.20 against $20.00 for output, around 17 times as much. Run a thousand times, a long document costs $165.40 on gpt-5.6-luna against $3,290.00 on gpt-5.6-sol.

What the premium buys is 9.7 points of overall intelligence (Intelligence Index): 47 (max) against 37.3 (max). Unless you genuinely need that lead, take gpt-5.6-luna โ€” the premium here is steep.

Standard pay-as-you-go prices, as of 23 Aug 2026. Last updated 22 Sep 2026.

Never miss an AI pricing or launch update

Get notified about new model launches, pricing changes, provider updates, deprecations, and cost-saving insights.

๐Ÿ”’ We respect your privacy. Unsubscribe anytime.

Cheaper overall

gpt-5.6-luna

94% lower blended rate

Higher benchmark scores

gpt-5.6-sol

leads on 10 of 11 figures

Cheaper cached input

gpt-5.6-luna

$0.02 vs $0.40, 95% less

Where each one wins

gpt-5.6-luna

  • Cheaper input tokens $0.20 vs $4.00, 95% less
  • Cheaper output tokens $1.20 vs $20.00, 94% less
  • Cheaper cached input $0.02 vs $0.40, 95% less
  • Cheaper on all four workloads
  • Higher answer reliability (Omniscience Non-Hallucination) 25 vs 10.6

gpt-5.6-sol

  • Higher overall intelligence (Intelligence Index) 47 vs 37.3
  • Higher coding ability (Coding Index) 78.3 vs 71.4
  • Higher multi-step tool use (Agentic Index) 50.2 vs 42.1
  • Ahead on 7 more benchmark figures

What four workloads cost

One run, and the same run a thousand times.

gpt-5.6-luna is cheaper on all four workloads, by much the same margin each time โ€” about 18.7 times, from $0.0008 against $0.0140 on a chat turn to $0.1654 against $3.29 on a long document.

Workload gpt-5.6-luna gpt-5.6-sol ร—1,000 Difference
Chat turn 1,000 in / 500 out $0.0008 $0.0140 $0.8000 / $14.00 gpt-5.6-luna is 94% cheaper
RAG answer 10,000 in / 800 out $0.0030 $0.0560 $2.96 / $56.00 gpt-5.6-luna is 95% cheaper
Agent loop 32,000 in / 700 out ร— 20 calls $0.0368 $0.6800 $36.80 / $680.00 gpt-5.6-luna is 95% cheaper
Long document 400,000 in / 3,000 out $0.1654 $3.29 $165.40 / $3,290.00 gpt-5.6-luna is 95% cheaper

Price your own token counts for these two โ†’

Price per 1M tokens

Above 272,000 input tokens the rates change, and the new rate applies to the whole request, not just the tokens past that point: gpt-5.6-luna's input goes from $0.2000 to $0.4000, and gpt-5.6-sol's input goes from $4.00 to $8.00. It does not change which of the two is cheaper.

Context band Price gpt-5.6-luna gpt-5.6-sol Difference
Prompts up to 272,000 tokens Input $0.20 $4.00 gpt-5.6-luna is 95% cheaper
Prompts up to 272,000 tokens Cached input $0.02 $0.40 gpt-5.6-luna is 95% cheaper
Prompts up to 272,000 tokens Output $1.20 $20.00 gpt-5.6-luna is 94% cheaper
Prompts over 272,000 tokens Input $0.40 $8.00 gpt-5.6-luna is 95% cheaper
Prompts over 272,000 tokens Cached input $0.04 $0.80 gpt-5.6-luna is 95% cheaper
Prompts over 272,000 tokens Output $1.80 $30.00 gpt-5.6-luna is 94% cheaper

Blended: gpt-5.6-luna $0.45, gpt-5.6-sol $8.00 per 1M โ€” one rate at 3:1 input to output, for comparing two models at a glance.

Both priced by OpenAI. Standard tier, pay-as-you-go.

Other pricing tiers

Both models offer Batch, Flex and Priority, worth up to 50% off their standard rates, and the cheaper model is the same one on every tier โ€” so the tier you buy changes the bill rather than the choice.

Every tier either model sells is here, so this is the whole price sheet. A saving is measured against that model's own standard rate โ€” how we read tiers.

Tier gpt-5.6-luna gpt-5.6-sol Cheaper
Batch $0.10 in / $0.60 out 50% off Standard $2.00 in / $10.00 out 50% off Standard gpt-5.6-luna
Flex $0.10 in / $0.60 out 50% off Standard $2.00 in / $10.00 out 50% off Standard gpt-5.6-luna
Priority $0.40 in / $2.40 out $8.00 in / $40.00 out gpt-5.6-luna

Benchmarks

They share 11 figures: gpt-5.6-luna leads on 1, gpt-5.6-sol on 10. The widest gap is 16.7 points, on factual accuracy (Omniscience Accuracy).

Overall intelligence

Intelligence Index โ€” Overall intelligence across reasoning, knowledge & math evals

gpt-5.6-luna 37.3
gpt-5.6-sol 47

gpt-5.6-sol ahead by 9.7

Coding ability

Coding Index โ€” Coding ability across software-engineering evals

gpt-5.6-luna 71.4
gpt-5.6-sol 78.3

gpt-5.6-sol ahead by 6.9

Multi-step tool use

Agentic Index โ€” Tool use & multi-step agent task performance

gpt-5.6-luna 42.1
gpt-5.6-sol 50.2

gpt-5.6-sol ahead by 8.1

Graduate-level science

GPQA Diamond โ€” Graduate-level questions in biology, chemistry & physics

gpt-5.6-luna 91.1
gpt-5.6-sol 94.1

gpt-5.6-sol ahead by 3

Expert-exam performance

Humanity's Last Exam โ€” Expert-level questions across many academic domains

gpt-5.6-luna 39.5
gpt-5.6-sol 49.5

gpt-5.6-sol ahead by 10

Long-context reasoning

AA-LCR โ€” Long-context reasoning across large inputs

gpt-5.6-luna 83.7
gpt-5.6-sol 84

gpt-5.6-sol ahead by 0.3

Scientific coding

SciCode โ€” Research-level scientific coding tasks

gpt-5.6-luna 53.6
gpt-5.6-sol 57.8

gpt-5.6-sol ahead by 4.2

Physics research reasoning

CritPt โ€” Unpublished physics research reasoning problems

gpt-5.6-luna 20.6
gpt-5.6-sol 32.3

gpt-5.6-sol ahead by 11.7

Real-world task performance

GDPval โ€” Economically valuable, real-world knowledge work

gpt-5.6-luna 47.2
gpt-5.6-sol 54.4

gpt-5.6-sol ahead by 7.2

Factual accuracy

Omniscience Accuracy โ€” Breadth of factual knowledge across domains

gpt-5.6-luna 42.7
gpt-5.6-sol 59.4

gpt-5.6-sol ahead by 16.7

Answer reliability

Omniscience Non-Hallucination โ€” How reliably the model avoids fabricated answers

gpt-5.6-luna 25
gpt-5.6-sol 10.6

gpt-5.6-luna ahead by 14.4

Each figure is that model's best published run, with the effort level named beside it โ€” where these scores come from.

Specifications

Both list the same capabilities, so nothing here separates them.

Specification gpt-5.6-luna gpt-5.6-sol
Context window 1,050,000 tokens 1,050,000 tokens
Max output 128,000 tokens 128,000 tokens
Takes in Text, image, file Text, image, file
Puts out Text Text
Knowledge cutoff 16 Feb 2026 16 Feb 2026
Released 9 Jul 2026 9 Jul 2026
Status Active Active
Sold by OpenAI, Perplexity OpenAI, Perplexity
Tool use Yes Yes
Structured outputs Yes Yes
Web search Not listed Not listed
Prompt caching Yes Yes
Code execution Yes Yes
Computer use Not listed Not listed
Open weights Not listed Not listed
Reasoning Yes Yes

FAQs

Is gpt-5.6-luna cheaper than gpt-5.6-sol?
Yes. A 1,000-token prompt with a 500-token reply costs $0.0008 on gpt-5.6-luna and $0.0140 on gpt-5.6-sol, and the same model is cheaper on every workload on this page.
How much do gpt-5.6-luna and gpt-5.6-sol cost per 1M tokens?
gpt-5.6-luna costs $0.20 for input and $1.20 for output. gpt-5.6-sol costs $4.00 and $20.00. Standard pay-as-you-go rates, as of 23 Aug 2026.
Which is better, gpt-5.6-luna or gpt-5.6-sol?
On published benchmarks, gpt-5.6-sol. It leads on 10 of the 11 figures both models report, including overall intelligence (Intelligence Index), where it scores 47 against 37.3.
Is Batch pricing cheaper for gpt-5.6-luna or gpt-5.6-sol?
Batch input costs $0.10 on gpt-5.6-luna and $2.00 on gpt-5.6-sol, 50% below the standard rate on both.

Explore these models

gpt-5.6-luna

OpenAI ยท 1,050,000-token context

Pricing · Calculator · Specifications

gpt-5.6-sol

OpenAI ยท 1,050,000-token context

Pricing · Calculator · Specifications

Other comparisons