Command A Plus vs GPT-5.2 vs GPT-5.3 Chat
GPT-5.2 comes out ahead, 39 to 35 and 32 on our weighted score, though Command A Plus is 9% cheaper per token.
CohereCommand A Plus
35/100- ECI—
- Price$2.50 / $10.00
- Context128K
- Our pick
OpenAIGPT-5.2
39/100- ECI153.5
- Price$1.75 / $14.00
- Context400K
- OpenAI
GPT-5.3 Chat
32/100- ECI—
- Price$1.75 / $14.00
- Context128K
GPT-5.2 is our pick
GPT-5.2 is the better all-round choice, scoring 39/100 against Command A Plus (35) and GPT-5.3 Chat (32). It leads on context window. Command A Plus wins 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 priceCommand A PlusCommand A Plus $4.38 · GPT-5.2 $4.81 · GPT-5.3 Chat $4.81 per 1M tokens (3:1 blend)
- Longest contextGPT-5.2GPT-5.2 400,000 · Command A Plus 128,000 · GPT-5.3 Chat 128,000 tokens
- Widest inputsSame inputsCommand A Plus: Text, Images · GPT-5.2: Text, Images · GPT-5.3 Chat: Text, Images
- Self-hostingCommand A PlusPublishes downloadable weights
| Measure | Weight | Command A Plus | GPT-5.2 | GPT-5.3 Chat |
|---|---|---|---|---|
| Price | 50% | 19 | 18 | 18 |
| Inputs & features | 30% | 70 | 70 | 60 |
| Context window | 20% | 24 | 44 | 24 |
| Overall | 100% | 35/100 | 39/100 | 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 | GPT-5.2OpenAI | GPT-5.3 ChatOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 153.5 | — |
| ECI rank | — | #38 of 148 | — |
| GPQA DiamondGraduate-level science questions | — | 91.4% | — |
| FrontierMath Tiers 1–3Research-level mathematics | — | 67.4% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 96.1% | — |
| SWE-bench VerifiedFixing real GitHub issues | — | 73.8% | — |
| SimpleQA VerifiedShort factual questions | — | 37.1% | — |
| Price per million tokens | |||
| Input | $2.50 | $1.75 (best) | $1.75 (best) |
| Output | $10.00 (best) | $14.00 | $14.00 |
| Cached input | — | $0.175 | $0.175 |
| Blended (3:1) | $4.38 (best) | $4.81 | $4.81 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Official OpenAI API | Official OpenAI API |
| Limits | |||
| Context window | 128,000 tokens | 400,000 tokens (best) | 128,000 tokens |
| Max output | 64,000 tokens | 128,000 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 | Yeslow · medium · high · xhigh | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | command-a-plus-05-2026 | gpt-5.2 | gpt-5.3-chat-latest |
| API providers | 1 | 21 (best) | 4 |
| Released | May 20, 2026 | Dec 11, 2025 | Mar 3, 2026 |
| Knowledge cutoff | Apr 1, 2025 | Aug 31, 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
- GPT-5.2$45.50
- GPT-5.3 Chat$45.50
Which should you choose?
Which is better: Command A Plus, GPT-5.2 or GPT-5.3 Chat?
GPT-5.2 is the better all-round choice, scoring 39/100 against Command A Plus (35) and GPT-5.3 Chat (32). It leads on context window. Command A Plus wins 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, GPT-5.2 or GPT-5.3 Chat?
Command A Plus is cheaper at $2.50 input / $10.00 output per million tokens (official Cohere API price). GPT-5.2 costs $1.75 input / $14.00 output per million tokens (official OpenAI 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 $4.38 per million tokens for Command A Plus versus $4.81 for GPT-5.2 (1.1× as much) and $4.81 for GPT-5.3 Chat (1.1× 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, GPT-5.2 has an ECI of 153.5 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 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?
GPT-5.2 has the largest context window at 400,000 tokens, against 128,000 for Command A Plus and 128,000 for GPT-5.3 Chat. Maximum output per response: Command A Plus up to 64,000, GPT-5.2 up to 128,000, GPT-5.3 Chat up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Command A Plus accepts text and images; GPT-5.2 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; GPT-5.2 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; GPT-5.2 came out Dec 11, 2025. Knowledge cutoff: Command A Plus Apr 1, 2025, GPT-5.2 Aug 31, 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.
