Command R+ vs Vision Large
Vision Large comes out ahead, 42 to 25 on our weighted score, though Command R+ is 2.5× cheaper per token.
CohereCommand R+
25/100- ECI—
- Price$2.50 / $10.00
- Context128K
- Our pick
VisparkVision Large
42/100- ECI—
- Price$7.37 / $22.11
- Context1M
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Make it a three-way comparison.
Vision Large is our pick
Vision Large is the better all-round choice, scoring 42/100 against Command R+ (25). It leads on inputs & features and context window. Command R+ wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceCommand R+Command R+ $4.38 · Vision Large $11.05 per 1M tokens (3:1 blend)
- Longest contextVision LargeVision Large 1,000,000 · Command R+ 128,000 tokens
- Widest inputsVision LargeCommand R+: Text · Vision Large: Text, Images, PDFs, Audio, Video
- Self-hostingCommand R+Publishes downloadable weights
| Measure | Weight | Command R+ | Vision Large |
|---|---|---|---|
| Price | 50% | 19 | 0 |
| Inputs & features | 30% | 35 | 100 |
| Context window | 20% | 24 | 60 |
| Overall | 100% | 25/100 | 42/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Command R+Cohere | Vision LargeVispark |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $2.50 (best) | $7.37 |
| Output | $10.00 (best) | $22.11 |
| Cached input | — | — |
| Blended (3:1) | $4.38 (best) | $11.05 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Cohere API | Official Vispark API |
| Limits | ||
| Context window | 128,000 tokens | 1,000,000 tokens (best) |
| Max output | 4,000 tokens | 65,536 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | Yes |
| Video | No | Yes |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | command-r-plus-08-2024 | vispark/vision-large |
| API providers | 8 (best) | 1 |
| Released | Aug 30, 2024 | May 15, 2024 |
| Knowledge cutoff | Jun 1, 2024 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Command R+$45.00
- Vision Large$117.92
Which should you choose?
Which is better: Command R+ or Vision Large?
Vision Large is the better all-round choice, scoring 42/100 against Command R+ (25). It leads on inputs & features and context window. Command R+ wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Command R+ or Vision Large?
Command R+ is cheaper at $2.50 input / $10.00 output per million tokens (official Cohere API price). Vision Large costs $7.37 input / $22.11 output per million tokens (official Vispark API price). At a typical mix of three input tokens to one output token, that is $4.38 per million tokens for Command R+ versus $11.05 for Vision Large (2.5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Command R+ has not been scored yet and Vision Large has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command R+ and Vision Large yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Vision Large has the largest context window at 1,000,000 tokens, against 128,000 for Command R+. Maximum output per response: Command R+ up to 4,000, Vision Large up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Command R+ accepts text; Vision Large accepts text, images, PDFs, audio and video. Vision Large handles the widest range of inputs.
Are any of these open source?
Command R+ publishes its weights and can be self-hosted; Vision Large is proprietary.
Which is newer?
Command R+ is the newest, released Aug 30, 2024. Vision Large came out May 15, 2024. Knowledge cutoff: Command R+ Jun 1, 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
