Command A Plus vs Gemini 2.5 Computer Use Preview vs GPT-5.3 Chat
Too close to call on our weighted score (Command A Plus 35, Gemini 2.5 Computer Use Preview 35, GPT-5.3 Chat 32). The right pick depends on what you value most.
CohereCommand A Plus
35/100- ECI—
- Price$2.50 / $10.00
- Context128K
GoogleGemini 2.5 Computer Use Preview
35/100- ECI—
- Price$1.25 / $10.00
- Context128K
OpenAIGPT-5.3 Chat
32/100- ECI—
- Price$1.75 / $14.00
- Context128K
Too close to call
It is close. Our weighted score puts them within a point (Command A Plus 35/100, Gemini 2.5 Computer Use Preview 35/100, GPT-5.3 Chat 32/100), so choose by what matters most for your work: Gemini 2.5 Computer Use Preview 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 priceGemini 2.5 Computer Use PreviewGemini 2.5 Computer Use Preview $3.44 · Command A Plus $4.38 · GPT-5.3 Chat $4.81 per 1M tokens (3:1 blend)
- Longest contextAbout the sameCommand A Plus 128,000 · Gemini 2.5 Computer Use Preview 128,000 · GPT-5.3 Chat 128,000 tokens
- Widest inputsSame inputsCommand A Plus: Text, Images · Gemini 2.5 Computer Use Preview: Text, Images · GPT-5.3 Chat: Text, Images
- Self-hostingCommand A PlusPublishes downloadable weights
| Measure | Weight | Command A Plus | Gemini 2.5 Computer Use Preview | GPT-5.3 Chat |
|---|---|---|---|---|
| Price | 50% | 19 | 24 | 18 |
| Inputs & features | 30% | 70 | 60 | 60 |
| Context window | 20% | 24 | 24 | 24 |
| Overall | 100% | 35/100 | 35/100 | 32/100 |
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 A PlusCohere | Gemini 2.5 Computer Use PreviewGoogle | GPT-5.3 ChatOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.50 | $1.25 (best) | $1.75 |
| Output | $10.00 (best) | $10.00 (best) | $14.00 |
| Cached input | — | — | $0.175 |
| Blended (3:1) | $4.38 | $3.44 (best) | $4.81 |
| Long-context rate | Same rate | Over 200K: $2.50 / $15.00 | Same rate |
| Price source | Official Cohere API | Official Google API | Official OpenAI API |
| Limits | |||
| Context window | 128,000 tokens | 128,000 tokens | 128,000 tokens |
| Max output | 64,000 tokens (best) | 64,000 tokens (best) | 16,384 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | command-a-plus-05-2026 | gemini-2.5-computer-use-preview-10-2025 | gpt-5.3-chat-latest |
| API providers | 1 | 2 | 4 (best) |
| Released | May 20, 2026 | Oct 7, 2025 | Mar 3, 2026 |
| Knowledge cutoff | Apr 1, 2025 | Jan 2025 | Aug 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 Plus$45.00
- Gemini 2.5 Computer Use Preview$32.50
- GPT-5.3 Chat$45.50
Which should you choose?
Which is better: Command A Plus, Gemini 2.5 Computer Use Preview or GPT-5.3 Chat?
It is close. Our weighted score puts them within a point (Command A Plus 35/100, Gemini 2.5 Computer Use Preview 35/100, GPT-5.3 Chat 32/100), so choose by what matters most for your work: Gemini 2.5 Computer Use Preview 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, Command A Plus, Gemini 2.5 Computer Use Preview or GPT-5.3 Chat?
Gemini 2.5 Computer Use Preview is cheaper at $1.25 input / $10.00 output per million tokens (official Google API price). Command A Plus costs $2.50 input / $10.00 output per million tokens (official Cohere API price); GPT-5.3 Chat costs $1.75 input / $14.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $3.44 per million tokens for Gemini 2.5 Computer Use Preview versus $4.38 for Command A Plus (1.3× as much) and $4.81 for GPT-5.3 Chat (1.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Command A Plus has not been scored yet, Gemini 2.5 Computer Use Preview has not been scored yet and GPT-5.3 Chat has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command A Plus, Gemini 2.5 Computer Use Preview and GPT-5.3 Chat 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?
Command A Plus, Gemini 2.5 Computer Use Preview and GPT-5.3 Chat share the same 128,000-token context window. Maximum output per response: Command A Plus up to 64,000, Gemini 2.5 Computer Use Preview up to 64,000, GPT-5.3 Chat up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Command A Plus accepts text and images; Gemini 2.5 Computer Use Preview accepts text and images; GPT-5.3 Chat accepts text and images. They handle the same number of input types.
Are any of these open source?
Command A Plus publishes its weights and can be self-hosted; Gemini 2.5 Computer Use Preview and GPT-5.3 Chat is proprietary.
Which is newer?
Command A Plus is the newest, released May 20, 2026. GPT-5.3 Chat came out Mar 3, 2026; Gemini 2.5 Computer Use Preview came out Oct 7, 2025. Knowledge cutoff: Command A Plus Apr 1, 2025, Gemini 2.5 Computer Use Preview Jan 2025, GPT-5.3 Chat Aug 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 Oct 4, 2026.
