Step 1 (32K) vs Qwen Plus Character (Japanese) vs Qwen-MT Plus
Qwen Plus Character (Japanese) comes out ahead, 36 to 18 and 12 on our weighted score, and it is the cheaper option too.
StepFunStep 1 (32K)
18/100- ECI—
- Price$2.05 / $9.59
- Context33K
- Our pick
Alibaba (Qwen)Qwen Plus Character (Japanese)
36/100- ECI—
- Price$0.50 / $1.40
- Context8K
- Alibaba (Qwen)
Qwen-MT Plus
12/100- ECI—
- Price$2.46 / $7.37
- Context16K
Qwen Plus Character (Japanese) is our pick
Qwen Plus Character (Japanese) is the better all-round choice, scoring 36/100 against Step 1 (32K) (18) and Qwen-MT Plus (12). It leads 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 priceQwen Plus Character (Japanese)Qwen Plus Character (Japanese) $0.725 · Qwen-MT Plus $3.69 · Step 1 (32K) $3.94 per 1M tokens (3:1 blend)
- Longest contextStep 1 (32K)Step 1 (32K) 32,768 · Qwen-MT Plus 16,384 · Qwen Plus Character (Japanese) 8,192 tokens
- Widest inputsSame inputsStep 1 (32K): Text · Qwen Plus Character (Japanese): Text · Qwen-MT Plus: Text
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Step 1 (32K) | Qwen Plus Character (Japanese) | Qwen-MT Plus |
|---|---|---|---|---|
| Price | 50% | 22 | 57 | 23 |
| Inputs & features | 30% | 25 | 25 | 0 |
| Context window | 20% | 0 | 0 | 0 |
| Overall | 100% | 18/100 | 36/100 | 12/100 |
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 | Step 1 (32K)StepFun | Qwen Plus Character (Japanese)Alibaba (Qwen) | Qwen-MT PlusAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.05 | $0.50 (best) | $2.46 |
| Output | $9.59 | $1.40 (best) | $7.37 |
| Cached input | $0.41 | — | — |
| Blended (3:1) | $3.94 | $0.725 (best) | $3.69 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official StepFun (Global) API | Official Alibaba API | Official Alibaba API |
| Limits | |||
| Context window | 32,768 tokens (best) | 8,192 tokens | 16,384 tokens |
| Max output | 32,768 tokens (best) | 512 tokens | 8,192 tokens |
| 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 | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | step-1-32k | qwen-plus-character-ja | qwen-mt-plus |
| API providers | 1 | 1 | 1 |
| Released | Jan 1, 2025 | Jan 2024 | Jan 2025 |
| Knowledge cutoff | Jun 2024 | Apr 2024 | Apr 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Step 1 (32K)$39.68
- Qwen Plus Character (Japanese)$7.80
- Qwen-MT Plus$39.34
Which should you choose?
Which is better: Step 1 (32K), Qwen Plus Character (Japanese) or Qwen-MT Plus?
Qwen Plus Character (Japanese) is the better all-round choice, scoring 36/100 against Step 1 (32K) (18) and Qwen-MT Plus (12). It leads 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, Step 1 (32K), Qwen Plus Character (Japanese) or Qwen-MT Plus?
Qwen Plus Character (Japanese) is cheaper at $0.50 input / $1.40 output per million tokens (official Alibaba API price). Qwen-MT Plus costs $2.46 input / $7.37 output per million tokens (official Alibaba API price); Step 1 (32K) costs $2.05 input / $9.59 output per million tokens (official StepFun (Global) API price). At a typical mix of three input tokens to one output token, that is $0.725 per million tokens for Qwen Plus Character (Japanese) versus $3.69 for Qwen-MT Plus (5.1× as much) and $3.94 for Step 1 (32K) (5.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Step 1 (32K) has not been scored yet, Qwen Plus Character (Japanese) has not been scored yet and Qwen-MT Plus has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Step 1 (32K), Qwen Plus Character (Japanese) and Qwen-MT Plus yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Qwen-MT Plus does not support tool calling, which most coding agents need.
Which has the bigger context window?
Step 1 (32K) has the largest context window at 32,768 tokens, against 16,384 for Qwen-MT Plus and 8,192 for Qwen Plus Character (Japanese). Maximum output per response: Step 1 (32K) up to 32,768, Qwen Plus Character (Japanese) up to 512, Qwen-MT Plus up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Step 1 (32K) accepts text; Qwen Plus Character (Japanese) accepts text; Qwen-MT Plus accepts text. They handle the same number of input types.
Are any of these open source?
No. Step 1 (32K), Qwen Plus Character (Japanese) and Qwen-MT Plus are proprietary and only available through APIs and apps.
Which is newer?
Step 1 (32K) is the newest, released Jan 1, 2025. Qwen-MT Plus came out Jan 2025; Qwen Plus Character (Japanese) came out Jan 2024. Knowledge cutoff: Step 1 (32K) Jun 2024, Qwen Plus Character (Japanese) Apr 2024, Qwen-MT Plus Apr 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.
