Command A vs GPT-5.1 Codex mini vs Nova Premier
GPT-5.1 Codex mini comes out ahead, 59 to 41 and 24 on our weighted score, and it is the cheaper option too.
CohereCommand A
24/100- ECI—
- Price$2.50 / $10.00
- Context256K
- Our pick
OpenAIGPT-5.1 Codex mini
59/100- ECI—
- Price$0.25 / $2.00
- Context400K
AmazonNova Premier
41/100- ECI—
- Price$2.50 / $12.50
- Context1M
GPT-5.1 Codex mini is our pick
GPT-5.1 Codex mini is the better all-round choice, scoring 59/100 against Nova Premier (41) and Command A (24). It leads on price. Nova Premier wins on 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 priceGPT-5.1 Codex miniGPT-5.1 Codex mini $0.688 · Command A $4.38 · Nova Premier $5.00 per 1M tokens (3:1 blend)
- Longest contextNova PremierNova Premier 1,000,000 · GPT-5.1 Codex mini 400,000 · Command A 256,000 tokens
- Widest inputsNova PremierCommand A: Text · GPT-5.1 Codex mini: Text, Images · Nova Premier: Text, Images, PDFs, Video
- Self-hostingCommand APublishes downloadable weights
| Measure | Weight | Command A | GPT-5.1 Codex mini | Nova Premier |
|---|---|---|---|---|
| Price | 50% | 19 | 58 | 17 |
| Inputs & features | 30% | 25 | 70 | 70 |
| Context window | 20% | 36 | 44 | 60 |
| Overall | 100% | 24/100 | 59/100 | 41/100 |
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 ACohere | GPT-5.1 Codex miniOpenAI | Nova PremierAmazon |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.50 | $0.25 (best) | $2.50 |
| Output | $10.00 | $2.00 (best) | $12.50 |
| Cached input | — | — | $0.625 |
| Blended (3:1) | $4.38 | $0.688 (best) | $5.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Median of 10 providers | Official Amazon Bedrock API |
| Limits | |||
| Context window | 256,000 tokens | 400,000 tokens | 1,000,000 tokens (best) |
| Max output | 8,000 tokens | 128,000 tokens (best) | 10,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | command-a-03-2025 | — | us.amazon.nova-premier-v1:0 |
| API providers | 3 | 10 (best) | 1 |
| Released | Mar 13, 2025 | Nov 13, 2025 | Apr 30, 2025 |
| Knowledge cutoff | Jun 1, 2024 | Sep 30, 2024 | Oct 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 A$45.00
- GPT-5.1 Codex mini$6.50
- Nova Premier$50.00
Which should you choose?
Which is better: Command A, GPT-5.1 Codex mini or Nova Premier?
GPT-5.1 Codex mini is the better all-round choice, scoring 59/100 against Nova Premier (41) and Command A (24). It leads on price. Nova Premier wins on 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, GPT-5.1 Codex mini or Nova Premier?
GPT-5.1 Codex mini is cheaper at $0.25 input / $2.00 output per million tokens (median across 10 API providers). Command A costs $2.50 input / $10.00 output per million tokens (official Cohere API price); Nova Premier costs $2.50 input / $12.50 output per million tokens (official Amazon Bedrock API price). At a typical mix of three input tokens to one output token, that is $0.688 per million tokens for GPT-5.1 Codex mini versus $4.38 for Command A (6.4× as much) and $5.00 for Nova Premier (7.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Command A has not been scored yet, GPT-5.1 Codex mini has not been scored yet and Nova Premier has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command A, GPT-5.1 Codex mini and Nova Premier 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?
Nova Premier has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.1 Codex mini and 256,000 for Command A. Maximum output per response: Command A up to 8,000, GPT-5.1 Codex mini up to 128,000, Nova Premier up to 10,000 tokens.
Which can read images, PDFs, audio or video?
Command A accepts text; GPT-5.1 Codex mini accepts text and images; Nova Premier accepts text, images, PDFs and video. Nova Premier handles the widest range of inputs.
Are any of these open source?
Command A publishes its weights and can be self-hosted; GPT-5.1 Codex mini and Nova Premier is proprietary.
Which is newer?
GPT-5.1 Codex mini is the newest, released Nov 13, 2025. Nova Premier came out Apr 30, 2025; Command A came out Mar 13, 2025. Knowledge cutoff: Command A Jun 1, 2024, GPT-5.1 Codex mini Sep 30, 2024, Nova Premier Oct 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.
