GPT-5.3 Chat vs GPT-5.4 vs Command A Plus
GPT-5.4 comes out ahead, 43 to 35 and 32 on our weighted score, though Command A Plus is 22% cheaper per token.
OpenAIGPT-5.3 Chat
32/100- ECI—
- Price$1.75 / $14.00
- Context128K
- Our pickOpenAI
GPT-5.4
43/100- ECI156.9
- Price$2.50 / $15.00
- Context1.05M
CohereCommand A Plus
35/100- ECI—
- Price$2.50 / $10.00
- Context128K
GPT-5.4 is our pick
GPT-5.4 is the better all-round choice, scoring 43/100 against Command A Plus (35) and GPT-5.3 Chat (32). It leads on inputs & features and 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-5.3 Chat $4.81 · GPT-5.4 $5.63 per 1M tokens (3:1 blend)
- Longest contextGPT-5.4GPT-5.4 1,050,000 · GPT-5.3 Chat 128,000 · Command A Plus 128,000 tokens
- Widest inputsGPT-5.4GPT-5.3 Chat: Text, Images · GPT-5.4: Text, Images, PDFs · Command A Plus: Text, Images
- Self-hostingCommand A PlusPublishes downloadable weights
| Measure | Weight | GPT-5.3 Chat | GPT-5.4 | Command A Plus |
|---|---|---|---|---|
| Price | 50% | 18 | 14 | 19 |
| Inputs & features | 30% | 60 | 80 | 70 |
| Context window | 20% | 24 | 61 | 24 |
| Overall | 100% | 32/100 | 43/100 | 35/100 |
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 | GPT-5.3 ChatOpenAI | GPT-5.4OpenAI | Command A PlusCohere |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 156.9 | — |
| ECI rank | — | #16 of 148 | — |
| GPQA DiamondGraduate-level science questions | — | 93.3% | — |
| FrontierMath Tiers 1–3Research-level mathematics | — | 78.6% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 97.8% | — |
| SWE-bench VerifiedFixing real GitHub issues | — | 76.9% | — |
| SimpleQA VerifiedShort factual questions | — | 45.1% | — |
| Price per million tokens | |||
| Input | $1.75 (best) | $2.50 | $2.50 |
| Output | $14.00 | $15.00 | $10.00 (best) |
| Cached input | $0.175 (best) | $0.25 | — |
| Blended (3:1) | $4.81 | $5.63 | $4.38 (best) |
| Long-context rate | Same rate | Over 272K: $5.00 / $22.50 | Same rate |
| Price source | Official OpenAI API | Official OpenAI API | Official Cohere API |
| Limits | |||
| Context window | 128,000 tokens | 1,050,000 tokens (best) | 128,000 tokens |
| Max output | 16,384 tokens | 128,000 tokens (best) | 64,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yeslow · medium · high · xhigh | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | gpt-5.3-chat-latest | gpt-5.4 | command-a-plus-05-2026 |
| API providers | 4 | 36 (best) | 1 |
| Released | Mar 3, 2026 | Mar 5, 2026 | May 20, 2026 |
| Knowledge cutoff | Aug 31, 2025 | Aug 31, 2025 | Apr 1, 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GPT-5.3 Chat$45.50
- GPT-5.4$55.00
- Command A Plus$45.00
Which should you choose?
Which is better: GPT-5.3 Chat, GPT-5.4 or Command A Plus?
GPT-5.4 is the better all-round choice, scoring 43/100 against Command A Plus (35) and GPT-5.3 Chat (32). It leads on inputs & features and 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, GPT-5.3 Chat, GPT-5.4 or Command A Plus?
Command A Plus is cheaper at $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); GPT-5.4 costs $2.50 input / $15.00 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-5.3 Chat (1.1× as much) and $5.63 for GPT-5.4 (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GPT-5.3 Chat has not been scored yet, GPT-5.4 has an ECI of 156.9 and Command A Plus has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.3 Chat and Command A Plus 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-5.4 has the largest context window at 1,050,000 tokens, against 128,000 for GPT-5.3 Chat and 128,000 for Command A Plus. Maximum output per response: GPT-5.3 Chat up to 16,384, GPT-5.4 up to 128,000, Command A Plus up to 64,000 tokens.
Which can read images, PDFs, audio or video?
GPT-5.3 Chat accepts text and images; GPT-5.4 accepts text, images and PDFs; Command A Plus accepts text and images. GPT-5.4 handles the widest range of inputs.
Are any of these open source?
Command A Plus publishes its weights and can be self-hosted; GPT-5.3 Chat and GPT-5.4 is proprietary.
Which is newer?
Command A Plus is the newest, released May 20, 2026. GPT-5.4 came out Mar 5, 2026; GPT-5.3 Chat came out Mar 3, 2026. Knowledge cutoff: GPT-5.3 Chat Aug 31, 2025, GPT-5.4 Aug 31, 2025, Command A Plus Apr 1, 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.
