GPT-6 Luna Pro vs Morph V3 Fast
Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.50
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.20
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
GPT-6 Luna Pro has the edge where output tokens cost 2.4x less, and where the context window is larger, 1.05M against 262K tokens.
- Shared results
- 0
- GPT-6 Luna Pro only
- 0
- Morph V3 Fast only
- 0
- Like-for-like categories
- 0 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Long documents
Listed context window
GPT-6 Luna Pro
GPT-6 Luna Pro takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-6 Luna Pro
GPT-6 Luna Pro $0.0003, Morph V3 Fast $0.0014 per turn.
List prices
At a glance
- Coding index
- GPT-6 Luna Pro not benchmarked, Morph V3 Fast not benchmarked.
- Widest category
- No category has a result for both models.
- Widest single gap
- No benchmark has a result for both models.
- Output price
- GPT-6 Luna Pro $0.50 against Morph V3 Fast $1.20 per million output tokens, 2.4x apart.
- Context window
- GPT-6 Luna Pro takes 1.05M tokens, Morph V3 Fast 262K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
CodingNot comparableSix of these boards feed the Vibe Coding Index0 boards, none shared
| Benchmark | GPT-6 Luna Pro | Morph V3 Fast | Leader |
|---|---|---|---|
| Neither model has a result on 38 boards here | |||
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6 Luna Pro | Morph V3 Fast | Leader |
|---|---|---|---|
| Neither model has a result on 2 boards here | |||
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6 Luna Pro | Morph V3 Fast | Leader |
|---|---|---|---|
| Neither model has a result on 39 boards here | |||
ReasoningNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6 Luna Pro | Morph V3 Fast | Leader |
|---|---|---|---|
| Neither model has a result on 21 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6 Luna Pro | Morph V3 Fast | Leader |
|---|---|---|---|
| Neither model has a result on 13 boards here | |||
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6 Luna Pro | Morph V3 Fast | Leader |
|---|---|---|---|
| Neither model has a result on 17 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6 Luna Pro | Morph V3 Fast | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6 Luna Pro | Morph V3 Fast | Leader |
|---|---|---|---|
| Neither model has a result on 46 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6 Luna Pro | Morph V3 Fast | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
GPT-6 Luna Pro costs less
Repository review
50K input + 3K output tokens
GPT-6 Luna Pro costs less
Agent loop
200K input + 10K output tokens
GPT-6 Luna Pro costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | OpenAI GPT-6 Luna Pro | Morph V3 Fast |
|---|---|---|
| Maker | OpenAI | Morph |
| Weights | No public weights listed | No public weights listed |
| Released | September 22, 2026 | July 7, 2025 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.10 | $0.80 |
| Output $/Mtok | $0.50 | $1.20 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-6 Luna Pro better than Morph V3 Fast for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. GPT-6 Luna Pro has the edge where output tokens cost 2.4x less, and where the context window is larger, 1.05M against 262K tokens.
Which is cheaper, GPT-6 Luna Pro or Morph V3 Fast?
GPT-6 Luna Pro costs $0.10 per million input tokens and $0.50 per million output tokens; Morph V3 Fast costs $0.80 and $1.20. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-6 Luna Pro or Morph V3 Fast?
GPT-6 Luna Pro, with 1.05M tokens against 262K.
How many benchmarks is the GPT-6 Luna Pro vs Morph V3 Fast comparison based on?
0 benchmarks have a result for both models as of October 21, 2026. GPT-6 Luna Pro's coding index rests on 0 independent benchmarks and Morph V3 Fast's on 0. Where only one model has a result, the page says so instead of naming a winner.