vs
1:0
overall capability wins (2 ties across 3 scored). GPT-6.1 Sol leads overall.
- Coding1:0
- Composite indices1:0
- Pricing0:3
Verdict
GPT-6.1 Sol leads coding (widest gap: +8.6 on DeepSWE); GPT-6 Luna is ~20.0x cheaper on a blended token basis than GPT-6.1 Sol.
- GPT-6.1 Sol leads coding (widest gap: +8.6 on DeepSWE)
- GPT-6 Luna is ~20.0x cheaper on a blended token basis than GPT-6.1 Sol
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- GPT-6.1 Sol
- $4.50
- GPT-6 Luna
- $0.23
GPT-6 Luna is about 20.0x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
OpenAI
OpenAI
Family
GPT-6.x
GPT-6.x
License
Proprietary
Proprietary
Open weights
No
No
Release
Sep 29, 2026
Sep 22, 2026
Knowledge cutoff
2026-04-30
2026-05-18
API / provider
OpenAI
OpenAI
Modalities
text, image → text
text, image → text
Specs
Context window
1.1M
1.1M
Max output
128K
128K
Parameters
—
—
Pricing
Input $/1M
$2
$0.10
Output $/1M
$10
$0.50
Blended $/1M (3∶1)
$4
$0.20
Speed
tok/s
-
-
TTFT (s)
-
-
Reasoning
MMLU-Pro
—
—
GPQA Diamond
—
—
Humanity's Last Exam
—
39.0
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
—
—
AA-LCR v1.1
—
83.0
CritPt
—
—
MMMU-Pro
—
—
IFBench
—
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
—
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
—
55.0
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
75.2
66.6
WebDev Arena
—
—
Terminal-Bench 4.0
—
13.0
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
—
| Metric | GPT-6.1 Sol | GPT-6 Luna | Delta |
|---|---|---|---|
| Identity | |||
| Organization | OpenAI | OpenAI | — |
| Family | GPT-6.x | GPT-6.x | — |
| License | Proprietary | Proprietary | — |
| Open weights | No | No | — |
| Release | Sep 29, 2026 | Sep 22, 2026 | — |
| Knowledge cutoff | 2026-04-30 | 2026-05-18 | — |
| API / provider | OpenAI | OpenAI | — |
| Modalities | text, image → text | text, image → text | — |
| Specs | |||
| Context window | 1.1M | 1.1M | tie |
| Max output | 128K | 128K | tie |
| Parameters | — | — | — |
| Pricing | |||
| Input $/1M | $2 | $0.10 | B +$1.90 |
| Output $/1M | $10 | $0.50 | B +$9.50 |
| Blended $/1M (3∶1) | $4 | $0.20 | B +$3.80 |
| Speed | |||
| tok/s | - | - | — |
| TTFT (s) | - | - | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | — | — | — |
| Humanity's Last Exam | — | 39.0 | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | — | — | — |
| AA-LCR v1.1 | — | 83.0 | — |
| CritPt | — | — | — |
| MMMU-Pro | — | — | — |
| IFBench | — | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | — | 55.0 | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | 75.2 | 66.6 | A +8.6 pts |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | 13.0 | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | — | — |
GPT-6.1 Sol
- Context
- 1.1M / 128K out
- Parameters
- —
- Price
- $2 / $10
- Speed
- —
- Modalities
- text, image → text
- License
- Proprietary
OpenAI's September 2026 GPT-6 Sol update for agentic coding, computer use, and professional work. It retains $2/$10 per 1M input/output tokens, a 1.05M context window, and 128K output limit; Artificial Analysis measured 52 on Intelligence Index v4.3.2 at max effort.
GPT-6 Luna
- Context
- 1.1M / 128K out
- Parameters
- —
- Price
- $0.10 / $0.50
- Speed
- —
- Modalities
- text, image → text
- License
- Proprietary
OpenAI's September 2026 efficient GPT-6 model for focused, high-volume tasks. Standard API rates for prompts up to 272K input tokens are $0.10/$0.50 per 1M input/output tokens; longer prompts use a higher rate.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.