Command R7B (12-2024) vs GPT-6 Sol Pro
Command R7B (12-2024) costs 66.7x less per output token than GPT-6 Sol Pro ($0.15 vs $10.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.15
- Coding
- No data
- Overall
- No data
- Output $/M
- $10.00
Command R7B (12-2024) or GPT-6 Sol Pro: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Command R7B (12-2024) for output tokens 66.7x cheaper ($0.15 vs $10.00 per million).
No benchmark has tested both yet. Command R7B (12-2024) has results on Berkeley Function Calling Leaderboard (BFCL); GPT-6 Sol Pro has none yet. 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
Long documents
Listed context window
GPT-6 Sol Pro
GPT-6 Sol Pro takes 1.05M tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Command R7B (12-2024)
Command R7B (12-2024) $0.0001, GPT-6 Sol Pro $0.0070 per turn.
List prices
At a glance
- Coding index
- Command R7B (12-2024) not benchmarked, GPT-6 Sol Pro 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
- Command R7B (12-2024) $0.15 against GPT-6 Sol Pro $10.00 per million output tokens, 66.7x apart.
- Context window
- Command R7B (12-2024) takes 128K tokens, GPT-6 Sol Pro 1.05M.
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.
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Command R7B (12-2024) | GPT-6 Sol Pro | Leader |
|---|---|---|---|
| Berkeley Function Calling Leaderboard (BFCL) | 32.1% | Not measured | Only Command R7B (12-2024) measured |
| Neither model has a result on the other 40 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 R7B (12-2024) costs less
Repository review
50K input + 3K output tokens
Command R7B (12-2024) costs less
Agent loop
200K input + 10K output tokens
Command R7B (12-2024) 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 R7B (12-2024) | OpenAI GPT-6 Sol Pro |
|---|---|---|
| Maker | Cohere | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | December 14, 2024 | September 22, 2026 |
| Context window | 128K | 1.05M |
| Input $/Mtok | $0.0375 | $2.00 |
| Output $/Mtok | $0.15 | $10.00 |
| 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 R7B (12-2024) better than GPT-6 Sol Pro for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Command R7B (12-2024) for output tokens 66.7x cheaper ($0.15 vs $10.00 per million).
Which is cheaper, Command R7B (12-2024) or GPT-6 Sol Pro?
Command R7B (12-2024) costs $0.0375 per million input tokens and $0.15 per million output tokens; GPT-6 Sol Pro costs $2.00 and $10.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Command R7B (12-2024) or GPT-6 Sol Pro?
GPT-6 Sol Pro, with 1.05M tokens against 128K.
Has any benchmark tested both Command R7B (12-2024) and GPT-6 Sol Pro?
No benchmark has tested both yet. Command R7B (12-2024) has results on Berkeley Function Calling Leaderboard (BFCL); GPT-6 Sol Pro has none yet. Compare them on price and context instead. Data as of October 21, 2026.