Alibaba Cloud: Models Intelligence, Performance & Price

Alibaba Cloud
Alibaba Cloud

Analysis of Alibaba Cloud's models across key metrics including quality, price, output speed, latency, context window & more. This analysis is intended to support you in choosing the best model provided by Alibaba Cloud for your use-case.

Most Intelligent

Updated
#1
Qwen3.7 Max
Qwen3.7 Max
46
#2
Qwen3.6 Max Preview
Qwen3.6 Max Preview
40
#3
Qwen3.6 Plus
Qwen3.6 Plus
40
#4
Qwen3.7 Plus
Qwen3.7 Plus
39
#5
Qwen3.6 27B
Qwen3.6 27B
37

Intelligence index

Total 50 models

Fastest

#1
Qwen3.5 Omni Flash
Qwen3.5 Omni Flash
252 t/s
#2
Qwen3.7 Max
Qwen3.7 Max
205 t/s
#3
Qwen3 Next 80B A3B
Qwen3 Next 80B A3B
186 t/s
#4
Qwen3 Next 80B A3B
Qwen3 Next 80B A3B
185 t/s
#5
Qwen3.6 35B A3B
Qwen3.6 35B A3B
172 t/s

Output speed

Total 50 models

Lowest Price

#1
Qwen2.5 Turbo
Qwen2.5 Turbo
$0.07
#2
Qwen3.5 Omni Flash
Qwen3.5 Omni Flash
$0.17
#3
Qwen3 VL 8B
Qwen3 VL 8B
$0.23
#4
Qwen3 8B
Qwen3 8B
$0.23
#5
Qwen3 VL 30B A3B
Qwen3 VL 30B A3B
$0.26

Blended price (per 1M tokens)

Total 50 models

Indicates a reasoning model

Alibaba Cloud offers 50 models, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across models.

  • For intelligence, the top models on Alibaba Cloud are Qwen3.7 Max (46), Qwen3.6 Max Preview (40), Qwen3.6 Plus (40).
  • For output speed, the fastest models are Qwen3.5 Omni Flash (252 t/s), Qwen3.7 Max (205 t/s), Qwen3 Next 80B A3B (186 t/s).
  • For latency, Qwen3.5 Omni Flash (1.81s), Qwen3 30B A3B 2507 (1.84s), Qwen3 Omni 30B A3B (1.89s) offer the lowest time to first token.
  • For pricing, Qwen2.5 Turbo ($0.07), Qwen3.5 Omni Flash ($0.17), Qwen3 VL 8B ($0.23) offer the lowest blended prices per 1M tokens. Prices vary up to 4.0x across models.
  • For context window size, Qwen3.6 Plus (1M), Qwen3.7 Plus (1M), Qwen2.5 Turbo (1M) support the largest context windows on Alibaba Cloud.

Highlights

Updated
Artificial Analysis Intelligence Index · Higher is better
Output tokens per second · Higher is better
USD per 1M tokens (blended) · Lower is better

Intelligence Evaluations

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR
Estimate (independent evaluation forthcoming)
Reasoning models are indicated by a lightbulb icon

Artificial Analysis Intelligence Index v4.1 includes: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Intelligence Evaluations

Intelligence evaluations measured independently by Artificial Analysis · Higher is better

Agentic real-world work tasks, (Elo-500)/2000

Agentic tool use

Agentic coding & terminal use

Coding

Reasoning & knowledge

Scientific reasoning

Physics reasoning

Long context reasoning

Agentic knowledge work, Elo

Agentic SaaS workflows

Legal agentic work, task all-pass rate

Agentic business operations

Instruction following

Long-horizon agentic tasks

Kubernetes incident root-cause analysis

Visual reasoning

Reasoning models are indicated by a lightbulb icon.

While model intelligence generally translates across use cases, specific evaluations may be more relevant for certain use cases.

Artificial Analysis Intelligence Index v4.1 includes: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Intelligence vs. Price

Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended)
Most attractive quadrant
Reasoning models are indicated by a lightbulb icon.

While higher intelligence models are typically more expensive, they do not all follow the same price-quality curve.

Artificial Analysis Intelligence Index v4.1 includes: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Price per token, shown in USD per million tokens. Price is a blend of cache hit, input, and output token prices using the selected ratio (default 7:2:1 cache-input-output).

The blended cache price shown here uses cache hit price only. Other caching costs differ by provider:

  • Anthropic: charges a separate cache write fee, with different rates for 5-minute and 1-hour TTLs (1-hour TTL is more expensive).
  • Google (Vertex/Gemini): charges a per-hour cache storage fee in addition to cache hit pricing. Some providers also use tiered pricing for prompts above 200K tokens.
  • OpenAI, DeepSeek, others: typically charge only cache hit pricing with no write or storage fee.

See Prompt Caching for the full breakdown.

Figures represent performance of the model's first-party API (e.g. OpenAI for o1) or the median across providers where a first-party API is not available (e.g. Meta's Llama models).

Context Window

Context Window

Context window: tokens limit · Higher is better
Reasoning models are indicated by a lightbulb icon

Larger context windows are relevant to RAG (Retrieval Augmented Generation) LLM workflows which typically involve reasoning and information retrieval of large amounts of data.

Maximum number of combined input & output tokens. Output tokens commonly have a significantly lower limit (varied by model).

Pricing

Intelligence vs. Price

Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended)
Most attractive quadrant
Reasoning models are indicated by a lightbulb icon.

While higher intelligence models are typically more expensive, they do not all follow the same price-quality curve.

Artificial Analysis Intelligence Index v4.1 includes: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Price per token, shown in USD per million tokens. Price is a blend of cache hit, input, and output token prices using the selected ratio (default 7:2:1 cache-input-output).

The blended cache price shown here uses cache hit price only. Other caching costs differ by provider:

  • Anthropic: charges a separate cache write fee, with different rates for 5-minute and 1-hour TTLs (1-hour TTL is more expensive).
  • Google (Vertex/Gemini): charges a per-hour cache storage fee in addition to cache hit pricing. Some providers also use tiered pricing for prompts above 200K tokens.
  • OpenAI, DeepSeek, others: typically charge only cache hit pricing with no write or storage fee.

See Prompt Caching for the full breakdown.

Figures represent performance of the model's first-party API (e.g. OpenAI for o1) or the median across providers where a first-party API is not available (e.g. Meta's Llama models).

Performance Summary

Output Speed vs. Price

Output speed: output tokens per second · USD per 1M tokens (blended)
Most attractive quadrant
Reasoning models are indicated by a lightbulb icon.

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Price per token, shown in USD per million tokens. Price is a blend of cache hit, input, and output token prices using the selected ratio (default 7:2:1 cache-input-output).

Speed

Measured by Output Speed (tokens per second)

Output Speed

Output tokens per second · Higher is better
Reasoning models are indicated by a lightbulb icon

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Figures represent performance of the model's first-party API (e.g. OpenAI for o1) or the median across providers where a first-party API is not available (e.g. Meta's Llama models).

Latency

Measured by Time (seconds) to First Token

Latency: Time To First Answer Token

Seconds to first answer token received · Accounts for reasoning model 'thinking' time
Reasoning models are indicated by a lightbulb icon

Time to first answer token received, in seconds, after API request sent. For reasoning models, this includes the 'thinking' time of the model before providing an answer. For models which do not support streaming, this represents time to receive the completion.

End-to-End Response Time

Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed

End-to-End Response Time vs. Price

End-to-end response time: end-to-end seconds to output 500 tokens · USD per 1M tokens (blended)
Most attractive quadrant
Reasoning models are indicated by a lightbulb icon.

Price per token, shown in USD per million tokens. Price is a blend of cache hit, input, and output token prices using the selected ratio (default 7:2:1 cache-input-output).

Seconds to receive a 500 token response. Key components:

  • Input time: Time to receive the first response token
  • Thinking time (only for reasoning models): Time reasoning models spend outputting tokens to reason prior to providing an answer. Amount of tokens based on the average reasoning tokens across a diverse set of 60 prompts (methodology details).
  • Answer time: Time to generate 500 output tokens, based on output speed

Figures represent median (P50) measurement over the past 72 hours to reflect sustained changes in performance.

Further Analysis
Alibaba logo
Qwen3.7 Max
991k
Proprietary
46
$1.43
205
2.45
16.65
11.75
Alibaba logo
Qwen3.6 Max Preview
256k
Proprietary
40*
$1.13
41
3.24
64.73
49.19
Alibaba logo
Qwen3.6 Plus
1M
Proprietary
40
$0.43
53
2.44
116.19
104.35
Alibaba logo
Qwen3.7 Plus
1M
Proprietary
39
$0.27
53
2.73
49.71
37.59
Alibaba logo
Qwen3.6 27B
262k
Open
37
$0.90
56
3.79
114.91
102.12
Alibaba logo
Qwen3.5 27B
262k
Open
34*
$0.51
78
5.63
37.66
25.62
Alibaba logo
Qwen3.5 397B A17B
262k
Open
34
$0.90
60
2.54
64.03
53.15
Alibaba logo
Qwen3.5 122B A10B
262k
Open
32
$0.68
135
2.38
20.91
14.82
Alibaba logo
Qwen3.5 397B A17B
262k
Open
32*
$0.90
60
2.55
10.84
--
Alibaba logo
Qwen3.6 35B A3B
229k
Open
32
$0.37
143
2.36
43.67
37.80
Alibaba logo
Qwen3.5 Omni Plus
256k
Proprietary
31*
$0.84
55
2.43
11.48
--
Alibaba logo
Qwen3.6 27B
262k
Open
30
$0.90
57
3.85
12.59
--
Alibaba logo
Qwen3.5 27B
262k
Open
29*
$0.51
83
5.65
11.66
--
Alibaba logo
Qwen3.5 35B A3B
262k
Open
29*
$0.42
132
2.21
21.22
15.20
Alibaba logo
Qwen3.5 122B A10B
262k
Open
28
$0.68
149
2.35
5.70
--
Alibaba logo
Qwen3 Max Thinking (Preview)
262k
Proprietary
25*
$1.68
49
4.11
54.87
40.61
Alibaba logo
Qwen3.6 35B A3B
262k
Open
24
$0.56
172
2.22
5.13
--
Alibaba logo
Qwen3 Max
258k
Proprietary
24*
$1.68
58
2.56
11.12
--
Alibaba logo
Qwen3.5 35B A3B
262k
Open
23*
$0.42
161
2.14
5.25
--
Alibaba logo
Qwen3 VL 235B A22B
131k
Open
21*
$1.47
56
2.96
47.95
35.99
Alibaba logo
Qwen3 235B A22B 2507
131k
Open
20
$1.47
54
2.79
49.21
37.14
Alibaba logo
Qwen3 Max (Preview)
262k
Proprietary
19*
$1.68
58
4.14
12.69
--
Alibaba logo
Qwen3.5 Omni Flash
256k
Proprietary
19*
$0.17
252
1.81
3.80
--
Alibaba logo
Qwen3 235B 2507
131k
Open
18*
$0.91
60
2.40
10.75
--
Alibaba logo
Qwen3 Coder 480B
262k
Open
18*
$2.10
49
2.90
13.15
--
Alibaba logo
Qwen3 VL 32B
131k
Open
18*
$1.47
89
2.51
30.57
22.44
Alibaba logo
Qwen3 Next 80B A3B
262k
Open
17
$1.05
186
2.18
15.63
10.76
Alibaba logo
Qwen3 30B A3B 2507
262k
Open
14
$0.42
146
2.36
19.48
13.70
Alibaba logo
Qwen3 VL 235B A22B
131k
Open
14*
$0.91
51
2.62
12.41
--
Alibaba logo
Qwen3 Next 80B A3B
131k
Open
14*
$0.65
185
2.22
4.92
--
Alibaba logo
Qwen3 Coder 30B A3B
262k
Open
14*
$0.63
96
2.56
7.76
--
Alibaba logo
Qwen3 235B
131k
Open
13*
$1.47
58
2.77
45.52
34.20
Alibaba logo
Qwen3 VL 30B A3B
131k
Open
13*
$0.42
111
2.31
24.83
18.02
Alibaba logo
Qwen3 32B
131k
Open
12
$1.47
92
2.43
29.61
21.74
Alibaba logo
Qwen3 VL 32B
131k
Open
11*
$0.91
71
2.67
9.71
--
Alibaba logo
Qwen3 235B
131k
Open
11*
$0.91
57
2.77
11.50
--
Alibaba logo
Qwen3 VL 8B
131k
Open
11*
$0.37
115
2.29
23.99
17.36
Alibaba logo
Qwen3 14B
131k
Open
10
$0.73
62
2.70
43.34
32.51
Alibaba logo
Qwen3 VL 30B A3B
131k
Open
10*
$0.26
111
2.15
6.63
--
Alibaba logo
Qwen3 Omni 30B A3B
65.5k
Open
10*
$0.32
100
1.96
26.99
20.02
Alibaba logo
Qwen3 30B
131k
Open
9*
$0.42
103
2.17
26.49
19.46
Alibaba logo
Qwen3 30B A3B 2507
262k
Open
9*
$0.26
146
1.84
5.25
--
Alibaba logo
Qwen3 32B
131k
Open
9*
$0.91
94
2.42
7.72
--
Alibaba logo
Qwen3 VL 8B
131k
Open
8*
$0.23
119
2.22
6.42
--
Alibaba logo
Qwen3 8B
98.3k
Open
8
$0.37
38
3.77
69.19
52.34
Alibaba logo
Qwen3 14B
131k
Open
7*
$0.45
63
2.67
10.56
--
Alibaba logo
Qwen3 30B
131k
Open
7*
$0.26
107
2.17
6.83
--
Alibaba logo
Qwen2.5 Turbo
1M
Proprietary
6*
$0.07
108
2.25
6.88
--
Alibaba logo
Qwen3 Omni 30B A3B
65.5k
Open
5*
$0.32
96
1.89
7.12
--
Alibaba logo
Qwen3 8B
131k
Open
5*
$0.23
38
3.76
16.86
--

Key definitions

Maximum number of combined input & output tokens. Output tokens commonly have a significantly lower limit (varied by model).

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Time to first token received, in seconds, after API request sent. For reasoning models which share reasoning tokens, this will be the first reasoning token. For models which do not support streaming, this represents time to receive the completion.

Price per token, shown in USD per million tokens. Price is a blend of cache hit, input, and output token prices using the selected ratio (default 7:2:1 cache-input-output).

Price per token generated by the model (received from the API), represented as USD per million Tokens.

Price per token included in the request/message sent to the API, represented as USD per million Tokens.

Metrics are 'live' and are based on the past 72 hours of measurements, measurements are taken 8 times a day for single requests and 2 times per day for parallel requests.

Frequently Asked Questions

Common questions about Alibaba Cloud

The most intelligent model available on Alibaba Cloud is Qwen3.7 Max with an Intelligence Index score of 46.

The fastest model on Alibaba Cloud by output speed is Qwen3.5 Omni Flash at 252.4 tokens per second.

The model with the lowest time to first token on Alibaba Cloud is Qwen3.5 Omni Flash at 1.81s. Lower latency means faster initial response time.

The most affordable model on Alibaba Cloud by blended price is Qwen2.5 Turbo at $0.07 per 1M tokens (7:2:1 cache hit/input/output ratio).

Prices on Alibaba Cloud vary up to 32x across models, from $0.07 per 1M tokens for Qwen2.5 Turbo to $2.10 per 1M tokens for Qwen3 Coder 480B.

Yes, Alibaba Cloud offers an OpenAI-compatible API, making it easy to switch from OpenAI or use existing OpenAI SDK integrations.

49 of 50 models on Alibaba Cloud support JSON mode for structured output.

Yes, all 50 models on Alibaba Cloud support function calling (tool use).

Yes, provider performance can vary over time due to infrastructure changes, load balancing, and updates. We continuously benchmark all providers and display historical performance trends in the "Over Time" charts.

When choosing a model on Alibaba Cloud, consider: intelligence (for quality-sensitive tasks), output speed (for throughput-intensive tasks), latency (for interactive applications requiring quick first responses), pricing (for cost-sensitive workloads), and features like context window size, JSON mode, or function calling support.