Command A+ vs DeepSeek V3
DeepSeek V3 costs 1.6x less per output token than Command A+ ($0.9594 vs $1.50 per million). Updated October 21, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.50
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.9594
Command A+ or DeepSeek V3: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Command A+ for a larger context window (192K against 164K tokens).
No benchmark has tested both yet. Command A+ has none yet; DeepSeek V3 on Aider polyglot, SWE-bench Lite and GPQA Diamond (Epoch AI 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
Web design
Design Arena: websites
No call
Only DeepSeek V3 has a Design Arena: websites result, 1120.
Directional only
Long documents
Listed context window
Command A+
Command A+ takes 192K tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V3
Command A+ $0.0010, DeepSeek V3 $0.0008 per turn.
List prices
At a glance
- Coding index
- Command A+ not benchmarked, DeepSeek V3 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 A+ $1.50 against DeepSeek V3 $0.9594 per million output tokens, 1.6x apart.
- Context window
- Command A+ takes 192K tokens, DeepSeek V3 164K.
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 Index2 boards measured
| Benchmark | Command A+ | DeepSeek V3 | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 70.2% | Only DeepSeek V3 measured |
| SWE-bench Lite | Not measured | 30.7% | Only DeepSeek V3 measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Command A+ | DeepSeek V3 | Leader |
|---|---|---|---|
| GPQA Diamond (Epoch AI run) | Not measured | 71.2% | Only DeepSeek V3 measured |
| Kagi LLM Benchmark | Not measured | 52.3% | Only DeepSeek V3 measured |
| Neither model has a result on the other 20 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Command A+ | DeepSeek V3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 48.9% | Only DeepSeek V3 measured |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
| Benchmark | Command A+ | DeepSeek V3 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1120 | Only DeepSeek V3 measured |
| Design Arena: UI components | Not measured | 1093 | Only DeepSeek V3 measured |
| Design Arena: game dev | Not measured | 1053 | Only DeepSeek V3 measured |
| Design Arena: data viz | Not measured | 1089 | Only DeepSeek V3 measured |
| Design Arena: 3D | Not measured | 1087 | Only DeepSeek V3 measured |
| Design Arena: all code categories | Not measured | 1108 | Only DeepSeek V3 measured |
| Design Arena: SVG | Not measured | 976 | Only DeepSeek V3 measured |
| Neither model has a result on the other 2 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
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
DeepSeek V3 costs less
Repository review
50K input + 3K output tokens
DeepSeek V3 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V3 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+ | DeepSeek V3 |
|---|---|---|
| Maker | Cohere | DeepSeek |
| Weights | No public weights listed | Open weights |
| Released | September 22, 2026 | December 26, 2024 |
| Context window | 192K | 164K |
| Input $/Mtok | $0.30 | $0.2887 |
| Output $/Mtok | $1.50 | $0.9594 |
| 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 DeepSeek V3 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Command A+ for a larger context window (192K against 164K tokens).
Which is cheaper, Command A+ or DeepSeek V3?
Command A+ costs $0.30 per million input tokens and $1.50 per million output tokens; DeepSeek V3 costs $0.2887 and $0.9594. Cost per solved task is known for neither of them.
Which has the bigger context window, Command A+ or DeepSeek V3?
Command A+, with 192K tokens against 164K.
Has any benchmark tested both Command A+ and DeepSeek V3?
No benchmark has tested both yet. Command A+ has none yet; DeepSeek V3 on Aider polyglot, SWE-bench Lite and GPQA Diamond (Epoch AI run). Compare them on price and context instead. Data as of October 21, 2026.