Command R+ vs Qwen2.5-VL 72B Instruct vs Palmyra X4
Qwen2.5-VL 72B Instruct comes out ahead, 30 to 25 and 22 on our weighted score, and it is the cheaper option too.
CohereCommand R+
22/100- ECI—
- Price$2.50 / $10.00
- Context128K
- Our pick
Alibaba (Qwen)Qwen2.5-VL 72B Instruct
30/100- ECI—
- Price$2.80 / $8.40
- Context131K
Writer
Palmyra X4
25/100- ECI—
- Price$2.50 / $10.00
- Context128K
Qwen2.5-VL 72B Instruct is our pick
Qwen2.5-VL 72B Instruct is the better all-round choice, scoring 30/100 against Palmyra X4 (25) and Command R+ (22). It leads on 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 priceQwen2.5-VL 72B InstructQwen2.5-VL 72B Instruct $4.20 · Command R+ $4.38 · Palmyra X4 $4.38 per 1M tokens (3:1 blend)
- Longest contextQwen2.5-VL 72B InstructQwen2.5-VL 72B Instruct 131,072 · Command R+ 128,000 · Palmyra X4 128,000 tokens
- Widest inputsQwen2.5-VL 72B InstructCommand R+: Text · Qwen2.5-VL 72B Instruct: Text, Images · Palmyra X4: Text
- Self-hostingCommand R+ and Qwen2.5-VL 72B InstructPublishes downloadable weights
| Measure | Weight | Command R+ | Qwen2.5-VL 72B Instruct | Palmyra X4 |
|---|---|---|---|---|
| Price | 50% | 19 | 20 | 19 |
| Inputs & features | 30% | 25 | 50 | 35 |
| Context window | 20% | 24 | 24 | 24 |
| Overall | 100% | 22/100 | 30/100 | 25/100 |
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 | Qwen2.5-VL 72B InstructAlibaba (Qwen) | Palmyra X4Writer |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.50 (best) | $2.80 | $2.50 (best) |
| Output | $10.00 | $8.40 (best) | $10.00 |
| Cached input | — | — | — |
| Blended (3:1) | $4.38 | $4.20 (best) | $4.38 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Official Alibaba API | Median of 1 providers |
| Limits | |||
| Context window | 128,000 tokens | 131,072 tokens (best) | 128,000 tokens |
| Max output | 4,000 tokens | 8,192 tokens (best) | 4,096 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | command-r-plus-08-2024 | qwen2-5-vl-72b-instruct | — |
| API providers | 7 (best) | 1 | 1 |
| Released | Aug 30, 2024 | Sep 2024 | Oct 9, 2024 |
| Knowledge cutoff | Jun 1, 2024 | Apr 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
- Qwen2.5-VL 72B Instruct$44.80
- Palmyra X4$45.00
Which should you choose?
Which is better: Command R+, Qwen2.5-VL 72B Instruct or Palmyra X4?
Qwen2.5-VL 72B Instruct is the better all-round choice, scoring 30/100 against Palmyra X4 (25) and Command R+ (22). It leads on 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 R+, Qwen2.5-VL 72B Instruct or Palmyra X4?
Qwen2.5-VL 72B Instruct is cheaper at $2.80 input / $8.40 output per million tokens (official Alibaba API price). Command R+ costs $2.50 input / $10.00 output per million tokens (official Cohere API price); Palmyra X4 costs $2.50 input / $10.00 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $4.20 per million tokens for Qwen2.5-VL 72B Instruct versus $4.38 for Command R+ (1× as much) and $4.38 for Palmyra X4 (1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Command R+ has not been scored yet, Qwen2.5-VL 72B Instruct has not been scored yet and Palmyra X4 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command R+, Qwen2.5-VL 72B Instruct and Palmyra X4 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Qwen2.5-VL 72B Instruct has the largest context window at 131,072 tokens, against 128,000 for Command R+ and 128,000 for Palmyra X4. Maximum output per response: Command R+ up to 4,000, Qwen2.5-VL 72B Instruct up to 8,192, Palmyra X4 up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Command R+ accepts text; Qwen2.5-VL 72B Instruct accepts text and images; Palmyra X4 accepts text. Qwen2.5-VL 72B Instruct handles the widest range of inputs.
Are any of these open source?
Command R+ and Qwen2.5-VL 72B Instruct publishes its weights and can be self-hosted; Palmyra X4 is proprietary.
Which is newer?
Palmyra X4 is the newest, released Oct 9, 2024. Qwen2.5-VL 72B Instruct came out Sep 2024; Command R+ came out Aug 30, 2024. Knowledge cutoff: Command R+ Jun 1, 2024, Qwen2.5-VL 72B Instruct Apr 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.
