Command A vs Nova Premier vs Qwen3-Coder 480B-A35B Instruct
Nova Premier comes out ahead, 41 to 28 and 24 on our weighted score, though Qwen3-Coder 480B-A35B Instruct is 40% cheaper per token.
CohereCommand A
24/100- ECI—
- Price$2.50 / $10.00
- Context256K
- Our pick
AmazonNova Premier
41/100- ECI—
- Price$2.50 / $12.50
- Context1M
Alibaba (Qwen)Qwen3-Coder 480B-A35B Instruct
28/100- ECI—
- Price$1.50 / $7.50
- Context262K
Nova Premier is our pick
Nova Premier is the better all-round choice, scoring 41/100 against Qwen3-Coder 480B-A35B Instruct (28) and Command A (24). It leads on inputs & features and context window. Qwen3-Coder 480B-A35B Instruct 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 priceQwen3-Coder 480B-A35B InstructQwen3-Coder 480B-A35B Instruct $3.00 · Command A $4.38 · Nova Premier $5.00 per 1M tokens (3:1 blend)
- Longest contextNova PremierNova Premier 1,000,000 · Qwen3-Coder 480B-A35B Instruct 262,144 · Command A 256,000 tokens
- Widest inputsNova PremierCommand A: Text · Nova Premier: Text, Images, PDFs, Video · Qwen3-Coder 480B-A35B Instruct: Text
- Self-hostingCommand A and Qwen3-Coder 480B-A35B InstructPublishes downloadable weights
| Measure | Weight | Command A | Nova Premier | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|---|---|
| Price | 50% | 19 | 17 | 27 |
| Inputs & features | 30% | 25 | 70 | 25 |
| Context window | 20% | 36 | 60 | 37 |
| Overall | 100% | 24/100 | 41/100 | 28/100 |
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 | Nova PremierAmazon | Qwen3-Coder 480B-A35B InstructAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.50 | $2.50 | $1.50 (best) |
| Output | $10.00 | $12.50 | $7.50 (best) |
| Cached input | — | $0.625 | — |
| Blended (3:1) | $4.38 | $5.00 | $3.00 (best) |
| Long-context rate | Same rate | Same rate | Over 32K: $2.70 / $13.50 |
| Price source | Official Cohere API | Official Amazon Bedrock API | Official Alibaba API |
| Limits | |||
| Context window | 256,000 tokens | 1,000,000 tokens (best) | 262,144 tokens |
| Max output | 8,000 tokens | 10,000 tokens | 65,536 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | command-a-03-2025 | us.amazon.nova-premier-v1:0 | qwen3-coder-480b-a35b-instruct |
| API providers | 3 | 1 | 7 (best) |
| Released | Mar 13, 2025 | Apr 30, 2025 | Apr 2025 |
| Knowledge cutoff | Jun 1, 2024 | Oct 2024 | Apr 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$45.00
- Nova Premier$50.00
- Qwen3-Coder 480B-A35B Instruct$30.00
Which should you choose?
Which is better: Command A, Nova Premier or Qwen3-Coder 480B-A35B Instruct?
Nova Premier is the better all-round choice, scoring 41/100 against Qwen3-Coder 480B-A35B Instruct (28) and Command A (24). It leads on inputs & features and context window. Qwen3-Coder 480B-A35B Instruct 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, Nova Premier or Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is cheaper at $1.50 input / $7.50 output per million tokens (official Alibaba API price). 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 $3.00 per million tokens for Qwen3-Coder 480B-A35B Instruct versus $4.38 for Command A (1.5× as much) and $5.00 for Nova Premier (1.7× 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, Nova Premier has not been scored yet and Qwen3-Coder 480B-A35B Instruct has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command A, Nova Premier and Qwen3-Coder 480B-A35B Instruct 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 262,144 for Qwen3-Coder 480B-A35B Instruct and 256,000 for Command A. Maximum output per response: Command A up to 8,000, Nova Premier up to 10,000, Qwen3-Coder 480B-A35B Instruct up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Command A accepts text; Nova Premier accepts text, images, PDFs and video; Qwen3-Coder 480B-A35B Instruct accepts text. Nova Premier handles the widest range of inputs.
Are any of these open source?
Command A and Qwen3-Coder 480B-A35B Instruct publishes its weights and can be self-hosted; Nova Premier is proprietary.
Which is newer?
Nova Premier is the newest, released Apr 30, 2025. Qwen3-Coder 480B-A35B Instruct came out Apr 2025; Command A came out Mar 13, 2025. Knowledge cutoff: Command A Jun 1, 2024, Nova Premier Oct 2024, Qwen3-Coder 480B-A35B Instruct Apr 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.
