Nova Premier vs GPT-5.1 Codex mini vs Command A
GPT-5.1 Codex mini comes out ahead, 59 to 41 and 24 on our weighted score, and it is the cheaper option too.
AmazonNova Premier
41/100- ECI—
- Price$2.50 / $12.50
- Context1M
- Our pick
OpenAIGPT-5.1 Codex mini
59/100- ECI—
- Price$0.25 / $2.00
- Context400K
CohereCommand A
24/100- ECI—
- Price$2.50 / $10.00
- Context256K
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 PremierNova Premier: Text, Images, PDFs, Video · GPT-5.1 Codex mini: Text, Images · Command A: Text
- Self-hostingCommand APublishes downloadable weights
| Measure | Weight | Nova Premier | GPT-5.1 Codex mini | Command A |
|---|---|---|---|---|
| Price | 50% | 17 | 58 | 19 |
| Inputs & features | 30% | 70 | 70 | 25 |
| Context window | 20% | 60 | 44 | 36 |
| Overall | 100% | 41/100 | 59/100 | 24/100 |
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 | Nova PremierAmazon | GPT-5.1 Codex miniOpenAI | Command ACohere |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.50 | $0.25 (best) | $2.50 |
| Output | $12.50 | $2.00 (best) | $10.00 |
| Cached input | $0.625 | — | — |
| Blended (3:1) | $5.00 | $0.688 (best) | $4.38 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Amazon Bedrock API | Median of 10 providers | Official Cohere API |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 400,000 tokens | 256,000 tokens |
| Max output | 10,000 tokens | 128,000 tokens (best) | 8,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | Yes | No | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | us.amazon.nova-premier-v1:0 | — | command-a-03-2025 |
| API providers | 1 | 10 (best) | 3 |
| Released | Apr 30, 2025 | Nov 13, 2025 | Mar 13, 2025 |
| Knowledge cutoff | Oct 2024 | Sep 30, 2024 | Jun 1, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Nova Premier$50.00
- GPT-5.1 Codex mini$6.50
- Command A$45.00
Which should you choose?
Which is better: Nova Premier, GPT-5.1 Codex mini or Command A?
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, Nova Premier, GPT-5.1 Codex mini or Command A?
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. Nova Premier has not been scored yet, GPT-5.1 Codex mini has not been scored yet and Command A has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Nova Premier, GPT-5.1 Codex mini and Command A 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: Nova Premier up to 10,000, GPT-5.1 Codex mini up to 128,000, Command A up to 8,000 tokens.
Which can read images, PDFs, audio or video?
Nova Premier accepts text, images, PDFs and video; GPT-5.1 Codex mini accepts text and images; Command A accepts text. Nova Premier handles the widest range of inputs.
Are any of these open source?
Command A publishes its weights and can be self-hosted; Nova Premier and GPT-5.1 Codex mini 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: Nova Premier Oct 2024, GPT-5.1 Codex mini Sep 30, 2024, Command A Jun 1, 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.
