GPT-6 Luna Pro vs Sonar
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
- 7.7
- Output $/M
- $1.00
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 2.0x less, and where the context window is larger, 1.05M against 127K tokens.
- Shared results
- 0
- GPT-6 Luna Pro only
- 0
- Sonar only
- 5
- 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
Intelligence
AA Intelligence Index
No call
Only Sonar has a AA Intelligence Index result, 7.7.
Directional only
Long documents
Listed context window
GPT-6 Luna Pro
GPT-6 Luna Pro takes 1.05M tokens against 127K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-6 Luna Pro
GPT-6 Luna Pro $0.0003, Sonar $0.0015 per turn.
List prices
At a glance
- Coding index
- GPT-6 Luna Pro not benchmarked, Sonar 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 Sonar $1.00 per million output tokens, 2.0x apart.
- Context window
- GPT-6 Luna Pro takes 1.05M tokens, Sonar 127K.
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.
CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board, none shared
| Benchmark | GPT-6 Luna Pro | Sonar | Leader |
|---|---|---|---|
| LiveCodeBench (Artificial Analysis run) | Not measured | 29.5% | Only Sonar measured |
| Neither model has a result on the other 37 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | GPT-6 Luna Pro | Sonar | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 7.7 | Only Sonar measured |
| Neither model has a result on the other 1 board here | |||
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6 Luna Pro | Sonar | Leader |
|---|---|---|---|
| Neither model has a result on 39 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | GPT-6 Luna Pro | Sonar | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 47.1% | Only Sonar measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 4.9% | Only Sonar measured |
| Neither model has a result on the other 19 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6 Luna Pro | Sonar | Leader |
|---|---|---|---|
| Neither model has a result on 13 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | GPT-6 Luna Pro | Sonar | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 68.9% | Only Sonar measured |
| Neither model has a result on the other 16 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6 Luna Pro | Sonar | 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 | Sonar | 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 | Sonar | 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 | Perplexity Sonar |
|---|---|---|
| Maker | OpenAI | Perplexity |
| Weights | No public weights listed | No public weights listed |
| Released | September 22, 2026 | January 27, 2025 |
| Context window | 1.05M | 127K |
| Input $/Mtok | $0.10 | $1.00 |
| Output $/Mtok | $0.50 | $1.00 |
| 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 Sonar 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 2.0x less, and where the context window is larger, 1.05M against 127K tokens.
Which is cheaper, GPT-6 Luna Pro or Sonar?
GPT-6 Luna Pro costs $0.10 per million input tokens and $0.50 per million output tokens; Sonar costs $1.00 and $1.00. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-6 Luna Pro or Sonar?
GPT-6 Luna Pro, with 1.05M tokens against 127K.
How many benchmarks is the GPT-6 Luna Pro vs Sonar 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 Sonar's on 0. Where only one model has a result, the page says so instead of naming a winner.