GPT-5.6 Luna Pro vs Sonar
Sonar costs 1.2x less per output token than GPT-5.6 Luna Pro ($1.00 vs $1.20 per million). Updated October 21, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.20
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.00
GPT-5.6 Luna Pro or Sonar: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-5.6 Luna Pro for a larger context window (1.05M against 127K tokens).
No benchmark has tested both yet. GPT-5.6 Luna Pro has none yet; Sonar on LiveCodeBench (Artificial Analysis run), AA Intelligence Index and GPQA Diamond (Artificial Analysis run). Compare them on price and context instead.
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-5.6 Luna Pro
GPT-5.6 Luna Pro takes 1.05M tokens against 127K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.6 Luna Pro
GPT-5.6 Luna Pro $0.0008, Sonar $0.0015 per turn.
List prices
At a glance
- Coding index
- GPT-5.6 Luna Pro not benchmarked, Sonar not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- GPT-5.6 Luna Pro $1.20 against Sonar $1.00 per million output tokens, 1.2x apart.
- Context window
- GPT-5.6 Luna Pro takes 1.05M tokens, Sonar 127K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board measured
| Benchmark | GPT-5.6 Luna Pro | Sonar | Leader |
|---|---|---|---|
| LiveCodeBench (Artificial Analysis run) | Not measured | 29.5% | Only Sonar measured |
| Neither model has a result on the other 38 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | GPT-5.6 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 | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | GPT-5.6 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 20 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | GPT-5.6 Luna Pro | Sonar | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 68.9% | Only Sonar measured |
| Neither model has a result on the other 17 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-5.6 Luna Pro costs less
Repository review
50K input + 3K output tokens
GPT-5.6 Luna Pro costs less
Agent loop
200K input + 10K output tokens
GPT-5.6 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-5.6 Luna Pro | Perplexity Sonar |
|---|---|---|
| Maker | OpenAI | Perplexity |
| Weights | No public weights listed | No public weights listed |
| Released | July 9, 2026 | January 27, 2025 |
| Context window | 1.05M | 127K |
| Input $/Mtok | $0.20 | $1.00 |
| Output $/Mtok | $1.20 | $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-5.6 Luna Pro better than Sonar for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5.6 Luna Pro for a larger context window (1.05M against 127K tokens).
Which is cheaper, GPT-5.6 Luna Pro or Sonar?
GPT-5.6 Luna Pro costs $0.20 per million input tokens and $1.20 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-5.6 Luna Pro or Sonar?
GPT-5.6 Luna Pro, with 1.05M tokens against 127K.
Has any benchmark tested both GPT-5.6 Luna Pro and Sonar?
No benchmark has tested both yet. GPT-5.6 Luna Pro has none yet; Sonar on LiveCodeBench (Artificial Analysis run), AA Intelligence Index and GPQA Diamond (Artificial Analysis run). Compare them on price and context instead. Data as of October 21, 2026.