Command A Vision vs Gemini 2.5 Pro Preview 06-05 vs Qwen MT Plus
Gemini 2.5 Pro Preview 06-05 comes out ahead, 48 to 25 and 11 on our weighted score, and it is the cheaper option too.
Cohere
Command A Vision
25/100- ECI—
- Price$2.50 / $10.00
- Context128K
- Our pick
Google
Gemini 2.5 Pro Preview 06-05
48/100- ECI—
- Price$1.22 / $9.75
- Context1.05M
Alibaba (Qwen)
Qwen MT Plus
11/100- ECI—
- Price$2.46 / $7.37
- Context16K
Gemini 2.5 Pro Preview 06-05 is our pick
Gemini 2.5 Pro Preview 06-05 is the better all-round choice, scoring 48/100 against Command A Vision (25) and Qwen MT Plus (11). It leads on price, inputs & features and context window. 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 priceGemini 2.5 Pro Preview 06-05Gemini 2.5 Pro Preview 06-05 $3.35 · Qwen MT Plus $3.69 · Command A Vision $4.38 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Pro Preview 06-05Gemini 2.5 Pro Preview 06-05 1,048,576 · Command A Vision 128,000 · Qwen MT Plus 16,384 tokens
- Widest inputsGemini 2.5 Pro Preview 06-05Command A Vision: Text, Images · Gemini 2.5 Pro Preview 06-05: Text, Images, PDFs, Audio · Qwen MT Plus: Text
- Self-hostingCommand A VisionPublishes downloadable weights
| Measure | Weight | Command A Vision | Gemini 2.5 Pro Preview 06-05 | Qwen MT Plus |
|---|---|---|---|---|
| Price | 50% | 19 | 24 | 22 |
| Inputs & features | 30% | 35 | 80 | 0 |
| Context window | 20% | 24 | 61 | 0 |
| Overall | 100% | 25/100 | 48/100 | 11/100 |
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 | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.50 | $1.22 (best) | $2.46 |
| Output | $10.00 | $9.75 | $7.37 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $4.38 | $3.35 (best) | $3.69 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Median of 4 providers | Official Alibaba API |
| Limits | |||
| Context window | 128,000 tokens | 1,048,576 tokens (best) | 16,384 tokens |
| Max output | 8,000 tokens | 65,536 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | Yes | No |
| Audio | No | Yes | No |
| Video | No | No | No |
| Reasoning | No | Yes | No |
| Tool calling | No | Yes | No |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | command-a-vision-07-2025 | — | qwen-mt-plus |
| API providers | 1 | 4 (best) | 3 |
| Released | Jul 31, 2025 | Jun 5, 2025 | Jul 24, 2025 |
| Knowledge cutoff | Jun 1, 2024 | Jan 31, 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 A Vision$45.00
Gemini 2.5 Pro Preview 06-05$31.69
Qwen MT Plus$39.34
Which should you choose?
Which is better: Command A Vision, Gemini 2.5 Pro Preview 06-05 or Qwen MT Plus?
Gemini 2.5 Pro Preview 06-05 is the better all-round choice, scoring 48/100 against Command A Vision (25) and Qwen MT Plus (11). It leads on price, inputs & features and context window. 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 A Vision, Gemini 2.5 Pro Preview 06-05 or Qwen MT Plus?
Gemini 2.5 Pro Preview 06-05 is cheaper at $1.22 input / $9.75 output per million tokens (median across 4 API providers). Qwen MT Plus costs $2.46 input / $7.37 output per million tokens (official Alibaba API price); Command A Vision costs $2.50 input / $10.00 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $3.35 per million tokens for Gemini 2.5 Pro Preview 06-05 versus $3.69 for Qwen MT Plus (1.1× as much) and $4.38 for Command A Vision (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Command A Vision has not been scored yet, Gemini 2.5 Pro Preview 06-05 has not been scored yet and Qwen MT Plus has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command A Vision, Gemini 2.5 Pro Preview 06-05 and Qwen MT Plus yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Command A Vision and Qwen MT Plus does not support tool calling, which most coding agents need.
Which has the bigger context window?
Gemini 2.5 Pro Preview 06-05 has the largest context window at 1,048,576 tokens, against 128,000 for Command A Vision and 16,384 for Qwen MT Plus. Maximum output per response: Command A Vision up to 8,000, Gemini 2.5 Pro Preview 06-05 up to 65,536, Qwen MT Plus up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Command A Vision accepts text and images; Gemini 2.5 Pro Preview 06-05 accepts text, images, PDFs and audio; Qwen MT Plus accepts text. Gemini 2.5 Pro Preview 06-05 handles the widest range of inputs.
Are any of these open source?
Command A Vision publishes its weights and can be self-hosted; Gemini 2.5 Pro Preview 06-05 and Qwen MT Plus is proprietary.
Which is newer?
Command A Vision is the newest, released Jul 31, 2025. Qwen MT Plus came out Jul 24, 2025; Gemini 2.5 Pro Preview 06-05 came out Jun 5, 2025. Knowledge cutoff: Command A Vision Jun 1, 2024, Gemini 2.5 Pro Preview 06-05 Jan 31, 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 Nov 2, 2026.