Today's price · per 1M tokens
Input
$0.400
per 1M tokens
Output
$1.60
per 1M tokens
Blended
$0.700
blended $/1M — 3:1 weighted input:output
How this price is scoped: Alibaba Model Studio International (Singapore) list price, 0<Token≤256K tier. The 256K<Token≤1M tier is billed higher ($1.20/$4.80). On a limited-time 20% off to $0.32 in / $1.28 out per 1M (list price tracked); the $0.32/$1.28 figures are 20% off the printed list, not amounts Alibaba prints. Context-cache hits discount input only; no cache rate is printed for this SKU, so cached input is left unset rather than assumed.
Price receipt
We read Alibaba's own pricing page on and found qwen3.7-plus listed with a price on the same row — that read is where the number above comes from, recorded as a new model. We keep the page text we read; its content hash is ac9e590e0e.
Available on 3 hosts
cheapest blended first · $ per 1M tokensQwen3.7-Plus is sold by 3 providers. Prices are per 1M tokens (blended = (3×input + 1×output) ÷ 4). The first-party row is the model maker; “vs first-party” shows each host’s blended price relative to it.
| Host | Input | Output | Blended | vs first-party |
|---|---|---|---|---|
| Together details → | $0.320 | $1.28 | $0.560 | -20% |
| Alibaba first-party | $0.400 | $1.60 | $0.700 | — |
| Fireworks details → | $0.400 | $1.60 | $0.700 | 0% |
Overview
Alibaba's current-generation Qwen3.7 mid tier on Model Studio. $0.40/$1.60 per 1M tokens up to 256K context; the 256K–1M tier is billed at $1.20/$4.80. Thinking and non-thinking modes bill at the same output rate. 1M-token context, text-only.
Capabilities
struck through = not supportedBenchmark performance
accuracy % · higher is betterWe hold no per-benchmark accuracy scores for this model yet, so it has no accuracy average. That is a gap in our coverage, not a sign the model is untested — independent evaluators often publish a composite index for a new model long before releasing its per-benchmark numbers. The percentile above is its standing across the independent composites below.
- AA Intelligence Index: 25.8 (Artificial Analysis composite across reasoning, knowledge and coding evals)
- AA-Omniscience Index: 1.1 (−100–100)
- LMSYS Chatbot Arena: 1455.6 ELO (Human preference)
- Ranks #60 of 181 comparably-measured models by percentile score, across 3 independent measurements
- Ranks #34 of 181 comparably-tested models by normalized performance per dollar
Source: Artificial Analysis, LMSYS Chatbot Arena (UC Berkeley) · updated · See full rankings →
Specifications
- Provider
- Alibaba
- Context window
- 1M tokens
- Modality
- text
- Parameters
- Proprietary
- Open source
- No — proprietary
- Released
- Status
- Current
- Last updated
- Tags
Availability verified: — listed on Alibaba's own page