vs
1:0
overall capability wins (1 ties across 2 scored). Command A Vision leads overall.
- Pricing0:3
- Speed0:2
- Specs1:0
Verdict
Command A Vision allows ~2.0x more max output (8K vs 4K); Command R7B is ~66.7x cheaper on a blended token basis than Command A Vision.
- Command A Vision allows ~2.0x more max output (8K vs 4K)
- Command R7B is ~66.7x cheaper on a blended token basis than Command A Vision
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Command A Vision
- $5
- Command R7B
- $0.07
Command R7B is about 66.7x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Cohere
Cohere
Family
Command
Command
License
Proprietary
Proprietary
Open weights
No
No
Release
Jul 1, 2025
Dec 14, 2024
Knowledge cutoff
-
-
API / provider
Cohere
Cohere
Modalities
text, image → text
text → text
Specs
Context window
128K
128K
Max output
8K
4K
Parameters
—
7B
Pricing
Input $/1M
$2.50
$0.04
Output $/1M
$10
$0.15
Blended $/1M (3∶1)
$4.38
$0.07
Speed
tok/s
70
120
TTFT (s)
0.5
0.2
Reasoning
MMLU-Pro
—
—
GPQA Diamond
—
—
Humanity's Last Exam
—
—
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
—
—
AA-LCR v1.1
—
—
CritPt
—
—
MMMU-Pro
—
—
IFBench
—
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
—
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
—
—
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
—
| Metric | Command A Vision | Command R7B | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Cohere | Cohere | — |
| Family | Command | Command | — |
| License | Proprietary | Proprietary | — |
| Open weights | No | No | — |
| Release | Jul 1, 2025 | Dec 14, 2024 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Cohere | Cohere | — |
| Modalities | text, image → text | text → text | — |
| Specs | |||
| Context window | 128K | 128K | tie |
| Max output | 8K | 4K | A +4K |
| Parameters | — | 7B | — |
| Pricing | |||
| Input $/1M | $2.50 | $0.04 | B +$2.46 |
| Output $/1M | $10 | $0.15 | B +$9.85 |
| Blended $/1M (3∶1) | $4.38 | $0.07 | B +$4.31 |
| Speed | |||
| tok/s | 70 | 120 | B +50 |
| TTFT (s) | 0.5 | 0.2 | B +0.30 |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | — | — | — |
| Humanity's Last Exam | — | — | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | — | — | — |
| AA-LCR v1.1 | — | — | — |
| CritPt | — | — | — |
| MMMU-Pro | — | — | — |
| IFBench | — | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | — | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | — | — |
Command A Vision
- Context
- 128K / 8K out
- Parameters
- —
- Price
- $2.50 / $10
- Speed
- 70 tok/s · 0.5s TTFT
- Modalities
- text, image → text
- License
- Proprietary
Cohere multimodal Command A variant for charts, diagrams, OCR, and document Q&A in enterprise RAG pipelines.
Command R7B
- Context
- 128K / 4K out
- Parameters
- 7B
- Price
- $0.04 / $0.15
- Speed
- 120 tok/s · 0.2s TTFT
- Modalities
- text → text
- License
- Proprietary
Cohere's cheapest production chat SKU — fast RAG and agent routing at sub-$0.20/1M blended rates.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.
These two models have no overlapping published benchmarks in our dataset. Compare specs and pricing instead.