Command A+ vs GPT-5.6 Sol Pro
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
- $1.50
- Coding
- No data
- Overall
- No data
- Output $/M
- $20.00
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Command A+ has the edge where output tokens cost 13.3x less.
- Shared results
- 0
- Command A+ only
- 0
- GPT-5.6 Sol Pro only
- 7
- 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-5.6 Sol Pro
GPT-5.6 Sol Pro takes 1.05M tokens against 192K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Command A+
Command A+ $0.0010, GPT-5.6 Sol Pro $0.014 per turn.
List prices
At a glance
- Coding index
- Command A+ not benchmarked, GPT-5.6 Sol Pro 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
- Command A+ $1.50 against GPT-5.6 Sol Pro $20.00 per million output tokens, 13.3x apart.
- Context window
- Command A+ takes 192K tokens, GPT-5.6 Sol Pro 1.05M.
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 | Command A+ | GPT-5.6 Sol Pro | Leader |
|---|---|---|---|
| WeirdML | Not measured | 89.4% | Only GPT-5.6 Sol Pro measured |
| Neither model has a result on the other 37 boards here | |||
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Command A+ | GPT-5.6 Sol Pro | Leader |
|---|---|---|---|
| Neither model has a result on 2 boards here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Command A+ | GPT-5.6 Sol Pro | Leader |
|---|---|---|---|
| APEX-Agents | Not measured | 51.4% | Only GPT-5.6 Sol Pro measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Command A+ | GPT-5.6 Sol Pro | Leader |
|---|---|---|---|
| SimpleBench | Not measured | 71.7% | Only GPT-5.6 Sol Pro measured |
| Chess puzzles | Not measured | 68.0% | Only GPT-5.6 Sol Pro measured |
| Neither model has a result on the other 19 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Command A+ | GPT-5.6 Sol Pro | Leader |
|---|---|---|---|
| FrontierMath, tier 4 | Not measured | 80.5% | Only GPT-5.6 Sol Pro measured |
| Neither model has a result on the other 12 boards here | |||
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Command A+ | GPT-5.6 Sol Pro | 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 | Command A+ | GPT-5.6 Sol Pro | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Command A+ | GPT-5.6 Sol Pro | 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
Command A+ costs less
Repository review
50K input + 3K output tokens
Command A+ costs less
Agent loop
200K input + 10K output tokens
Command A+ 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 | Cohere Command A+ | OpenAI GPT-5.6 Sol Pro |
|---|---|---|
| Maker | Cohere | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | September 22, 2026 | July 9, 2026 |
| Context window | 192K | 1.05M |
| Input $/Mtok | $0.30 | $4.00 |
| Output $/Mtok | $1.50 | $20.00 |
| 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 Command A+ better than GPT-5.6 Sol Pro for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Command A+ has the edge where output tokens cost 13.3x less.
Which is cheaper, Command A+ or GPT-5.6 Sol Pro?
Command A+ costs $0.30 per million input tokens and $1.50 per million output tokens; GPT-5.6 Sol Pro costs $4.00 and $20.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Command A+ or GPT-5.6 Sol Pro?
GPT-5.6 Sol Pro, with 1.05M tokens against 192K.
How many benchmarks is the Command A+ vs GPT-5.6 Sol Pro comparison based on?
0 benchmarks have a result for both models as of October 21, 2026. Command A+'s coding index rests on 0 independent benchmarks and GPT-5.6 Sol Pro's on 0. Where only one model has a result, the page says so instead of naming a winner.