Command A vs Jamba Large vs Step 1 (32K)
Jamba Large comes out ahead, 30 to 24 and 18 on our weighted score, and it is the cheaper option too.
CohereCommand A
24/100- ECI—
- Price$2.50 / $10.00
- Context256K
- Our pick
AI21 LabsJamba Large
30/100- ECI—
- Price$2.00 / $8.00
- Context256K
StepFunStep 1 (32K)
18/100- ECI—
- Price$2.05 / $9.59
- Context33K
Jamba Large is our pick
Jamba Large is the better all-round choice, scoring 30/100 against Command A (24) and Step 1 (32K) (18). It leads on price and inputs & features. 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 priceJamba LargeJamba Large $3.50 · Step 1 (32K) $3.94 · Command A $4.38 per 1M tokens (3:1 blend)
- Longest contextCommand A and Jamba LargeCommand A 256,000 · Jamba Large 256,000 · Step 1 (32K) 32,768 tokens
- Widest inputsSame inputsCommand A: Text · Jamba Large: Text · Step 1 (32K): Text
- Self-hostingCommand A and Jamba LargePublishes downloadable weights
| Measure | Weight | Command A | Jamba Large | Step 1 (32K) |
|---|---|---|---|---|
| Price | 50% | 19 | 24 | 22 |
| Inputs & features | 30% | 25 | 35 | 25 |
| Context window | 20% | 36 | 36 | 0 |
| Overall | 100% | 24/100 | 30/100 | 18/100 |
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 | Jamba LargeAI21 Labs | Step 1 (32K)StepFun |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.50 | $2.00 (best) | $2.05 |
| Output | $10.00 | $8.00 (best) | $9.59 |
| Cached input | — | — | $0.41 |
| Blended (3:1) | $4.38 | $3.50 (best) | $3.94 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Official AI21 Labs API | Official StepFun (Global) API |
| Limits | |||
| Context window | 256,000 tokens (best) | 256,000 tokens (best) | 32,768 tokens |
| Max output | 8,000 tokens | 4,096 tokens | 32,768 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | command-a-03-2025 | jamba-large | step-1-32k |
| API providers | 3 (best) | 1 | 1 |
| Released | Mar 13, 2025 | Jul 1, 2025 | Jan 1, 2025 |
| Knowledge cutoff | Jun 1, 2024 | Aug 22, 2024 | Jun 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
- Jamba Large$36.00
- Step 1 (32K)$39.68
Which should you choose?
Which is better: Command A, Jamba Large or Step 1 (32K)?
Jamba Large is the better all-round choice, scoring 30/100 against Command A (24) and Step 1 (32K) (18). It leads on price and inputs & features. 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, Jamba Large or Step 1 (32K)?
Jamba Large is cheaper at $2.00 input / $8.00 output per million tokens (official AI21 Labs API price). Step 1 (32K) costs $2.05 input / $9.59 output per million tokens (official StepFun (Global) API price); Command A costs $2.50 input / $10.00 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $3.50 per million tokens for Jamba Large versus $3.94 for Step 1 (32K) (1.1× as much) and $4.38 for Command A (1.3× 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, Jamba Large has not been scored yet and Step 1 (32K) has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command A, Jamba Large and Step 1 (32K) 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?
Command A and Jamba Large have the largest context windows (256,000 and 256,000 tokens), against 32,768 for Step 1 (32K). Maximum output per response: Command A up to 8,000, Jamba Large up to 4,096, Step 1 (32K) up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Command A accepts text; Jamba Large accepts text; Step 1 (32K) accepts text. They handle the same number of input types.
Are any of these open source?
Command A and Jamba Large publishes its weights and can be self-hosted; Step 1 (32K) is proprietary.
Which is newer?
Jamba Large is the newest, released Jul 1, 2025. Command A came out Mar 13, 2025; Step 1 (32K) came out Jan 1, 2025. Knowledge cutoff: Command A Jun 1, 2024, Jamba Large Aug 22, 2024, Step 1 (32K) Jun 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.
