Command R7B vs Sonar Deep Research
Command R7B comes out ahead, 62 to 20 on our weighted score, and it is the cheaper option too.
- Our pick
CohereCommand R7B
62/100- ECI—
- Price$0.037 / $0.15
- Context128K
PerplexitySonar Deep Research
20/100- ECI—
- Price$2.00 / $8.00
- 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 sameCommand R7B 128,000 · Sonar Deep Research 128,000 tokens
- Widest inputsSame inputsCommand R7B: Text · Sonar Deep Research: Text
- Self-hostingCommand R7BPublishes downloadable weights
| Measure | Weight | Command R7B | Sonar Deep Research |
|---|---|---|---|
| Price | 50% | 100 | 24 |
| Inputs & features | 30% | 25 | 10 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 62/100 | 20/100 |
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 R7BCohere | Sonar Deep ResearchPerplexity |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.037 (best) | $2.00 |
| Output | $0.15 (best) | $8.00 |
| Cached input | — | — |
| Blended (3:1) | $0.066 (best) | $3.50 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Cohere API | Official Perplexity API |
| Limits | ||
| Context window | 128,000 tokens | 128,000 tokens |
| Max output | 4,000 tokens | 32,768 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yesminimal · low · medium · high |
| Tool calling | Yes | No |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | command-r7b-12-2024 | sonar-deep-research |
| API providers | 5 (best) | 3 |
| Released | Dec 2, 2024 | Feb 1, 2025 |
| Knowledge cutoff | Jun 1, 2024 | Jan 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Command R7B$0.675
- Sonar Deep Research$36.00
Which should you choose?
Which is better: Command R7B or Sonar Deep Research?
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, Command R7B or Sonar Deep Research?
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. Command R7B has not been scored yet and Sonar Deep Research has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command R7B and Sonar Deep Research 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?
Command R7B and Sonar Deep Research share the same 128,000-token context window. Maximum output per response: Command R7B up to 4,000, Sonar Deep Research up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Command R7B accepts text; Sonar Deep Research 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: Command R7B Jun 1, 2024, Sonar Deep Research Jan 2025.
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.
