Sonar Deep Research vs Command R7B
Command R7B comes out ahead, 62 to 20 on our weighted score, and it is the cheaper option too.
PerplexitySonar Deep Research
20/100- ECI—
- Price$2.00 / $8.00
- Context128K
- Our pick
CohereCommand R7B
62/100- ECI—
- Price$0.037 / $0.15
- Context128K
Add a model
Make it a three-way comparison.
Command R7B is our pick
Command R7B is the better all-round choice, scoring 62/100 against Sonar Deep Research (20). It leads on price and inputs & features. 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 R7BCommand R7B $0.066 · Sonar Deep Research $3.50 per 1M tokens (3:1 blend)
- Longest contextAbout the sameSonar Deep Research 128,000 · Command R7B 128,000 tokens
- Widest inputsSame inputsSonar Deep Research: Text · Command R7B: Text
- Self-hostingCommand R7BPublishes downloadable weights
| Measure | Weight | Sonar Deep Research | Command R7B |
|---|---|---|---|
| Price | 50% | 24 | 100 |
| Inputs & features | 30% | 10 | 25 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 20/100 | 62/100 |
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 | Sonar Deep ResearchPerplexity | Command R7BCohere |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $2.00 | $0.037 (best) |
| Output | $8.00 | $0.15 (best) |
| Cached input | — | — |
| Blended (3:1) | $3.50 | $0.066 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Perplexity API | Official Cohere API |
| Limits | ||
| Context window | 128,000 tokens | 128,000 tokens |
| Max output | 32,768 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 | No |
| Tool calling | No | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | sonar-deep-research | command-r7b-12-2024 |
| API providers | 3 | 5 (best) |
| Released | Feb 1, 2025 | Dec 2, 2024 |
| Knowledge cutoff | Jan 2025 | 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.
- Sonar Deep Research$36.00
- Command R7B$0.675
Which should you choose?
Which is better: Sonar Deep Research or Command R7B?
Command R7B is the better all-round choice, scoring 62/100 against Sonar Deep Research (20). It leads on price and inputs & features. 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, Sonar Deep Research or Command R7B?
Command R7B is cheaper at $0.037 input / $0.15 output per million tokens (official Cohere API price). Sonar Deep Research costs $2.00 input / $8.00 output per million tokens (official Perplexity API price). At a typical mix of three input tokens to one output token, that is $0.066 per million tokens for Command R7B versus $3.50 for Sonar Deep Research (53× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Sonar Deep Research has not been scored yet and Command R7B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Sonar Deep Research and Command R7B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Sonar Deep Research does not support tool calling, which most coding agents need.
Which has the bigger context window?
Sonar Deep Research and Command R7B share the same 128,000-token context window. Maximum output per response: Sonar Deep Research up to 32,768, Command R7B up to 4,000 tokens.
Which can read images, PDFs, audio or video?
Sonar Deep Research accepts text; Command R7B accepts text. They handle the same number of input types.
Are any of these open source?
Command R7B publishes its weights and can be self-hosted; Sonar Deep Research is proprietary.
Which is newer?
Sonar Deep Research is the newest, released Feb 1, 2025. Command R7B came out Dec 2, 2024. Knowledge cutoff: Sonar Deep Research Jan 2025, Command R7B 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.
