Solar Pro 4 vs Command R
Solar Pro 4 comes out ahead, 55 to 51 on our weighted score, though Command R is 2× cheaper per token.
- Our pick
Upstage
Solar Pro 4
55/100- ECI—
- Price$0.30 / $1.20
- Context524K
CohereCommand R
51/100- ECI—
- Price$0.15 / $0.60
- Context128K
Add a model
Make it a three-way comparison.
Solar Pro 4 is our pick
Solar Pro 4 is the better all-round choice, scoring 55/100 against Command R (51). 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 RCommand R $0.263 · Solar Pro 4 $0.525 per 1M tokens (3:1 blend)
- Longest contextSolar Pro 4Solar Pro 4 524,288 · Command R 128,000 tokens
- Widest inputsSame inputsSolar Pro 4: Text · Command R: Text
- Self-hostingCommand RPublishes downloadable weights
| Measure | Weight | Solar Pro 4 | Command R |
|---|---|---|---|
| Price | 50% | 63 | 77 |
| Inputs & features | 30% | 45 | 25 |
| Context window | 20% | 49 | 24 |
| Overall | 100% | 55/100 | 51/100 |
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 | Solar Pro 4Upstage | Command RCohere |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.30 | $0.15 (best) |
| Output | $1.20 | $0.60 (best) |
| Cached input | $0.06 | — |
| Blended (3:1) | $0.525 | $0.263 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Upstage API | Official Cohere API |
| Limits | ||
| Context window | 524,288 tokens (best) | 128,000 tokens |
| Max output | 131,072 tokens (best) | 4,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yesminimal · low · medium · high · xhigh · max | No |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | solar-pro4 | command-r-08-2024 |
| API providers | 3 | 5 (best) |
| Released | Aug 6, 2026 | Aug 30, 2024 |
| Knowledge cutoff | Feb 2026 | 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.
- Solar Pro 4$5.40
- Command R$2.70
Which should you choose?
Which is better: Solar Pro 4 or Command R?
Solar Pro 4 is the better all-round choice, scoring 55/100 against Command R (51). 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, Solar Pro 4 or Command R?
Command R is cheaper at $0.15 input / $0.60 output per million tokens (official Cohere API price). Solar Pro 4 costs $0.30 input / $1.20 output per million tokens (official Upstage API price). At a typical mix of three input tokens to one output token, that is $0.263 per million tokens for Command R versus $0.525 for Solar Pro 4 (2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Solar Pro 4 has not been scored yet and Command R has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Solar Pro 4 and Command R 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?
Solar Pro 4 has the largest context window at 524,288 tokens, against 128,000 for Command R. Maximum output per response: Solar Pro 4 up to 131,072, Command R up to 4,000 tokens.
Which can read images, PDFs, audio or video?
Solar Pro 4 accepts text; Command R accepts text. They handle the same number of input types.
Are any of these open source?
Command R publishes its weights and can be self-hosted; Solar Pro 4 is proprietary.
Which is newer?
Solar Pro 4 is the newest, released Aug 6, 2026. Command R came out Aug 30, 2024. Knowledge cutoff: Solar Pro 4 Feb 2026, 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 Oct 4, 2026.
