Scaleway: Models Intelligence, Performance & Price

Scaleway
Scaleway

This analysis is intended to support you in choosing the best model provided by Scaleway for your use-case.

Most Intelligent

Updated
#1
GLM-5.2 (max)GLM-5.2 (max)
34
#2
GLM-5.2 (Non-reasoning)GLM-5.2 (Non-reasoning)
22
#3
Qwen3.6 35B A3BQwen3.6 35B A3B
19
#4
Qwen3.6 35B A3B (Non-reasoning)Qwen3.6 35B A3B (Non-reasoning)
15
#5
Gemma 4 26B A4B (Non-reasoning)Gemma 4 26B A4B (Non-reasoning)
13

Intelligence index

Total 9 models

Fastest

#1
Gemma 4 26B A4B (Non-reasoning)Gemma 4 26B A4B (Non-reasoning)
158 t/s
#2
Qwen3 Coder 30B A3BQwen3 Coder 30B A3B
138 t/s
#3
gpt-oss-120b (high)gpt-oss-120b (high)
96 t/s
#4
Qwen3.6 35B A3BQwen3.6 35B A3B
96 t/s
#5
Qwen3.6 35B A3B (Non-reasoning)Qwen3.6 35B A3B (Non-reasoning)
91 t/s

Output speed

Total 9 models

Lowest Price

#1
gpt-oss-120b (high)gpt-oss-120b (high)
$0.22
#2
Gemma 4 26B A4B (Non-reasoning)Gemma 4 26B A4B (Non-reasoning)
$0.28
#3
Qwen3 Coder 30B A3BQwen3 Coder 30B A3B
$0.30
#4
Qwen3.6 35B A3BQwen3.6 35B A3B
$0.44
#5
Qwen3.6 35B A3B (Non-reasoning)Qwen3.6 35B A3B (Non-reasoning)
$0.44

Blended price (per 1M tokens)

Total 9 models

Scaleway offers 9 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 Scaleway are GLM-5.2 (max) (34), GLM-5.2 (Non-reasoning) (22), and Qwen3.6 35B A3B (19).
  • For output speed, the fastest models are Gemma 4 26B A4B (Non-reasoning) (158 t/s), Qwen3 Coder 30B A3B (138 t/s), and gpt-oss-120b (high) (96 t/s). Speed varies significantly across models, with a 73% difference between the fastest and slowest.
  • For latency, Gemma 4 26B A4B (Non-reasoning) (0.89s), Qwen3.6 35B A3B (Non-reasoning) (1.05s), and Qwen3 Coder 30B A3B (1.08s) offer the lowest time to first answer token.
  • For pricing, gpt-oss-120b (high) ($0.22), Gemma 4 26B A4B (Non-reasoning) ($0.28), and Qwen3 Coder 30B A3B ($0.30) offer the lowest blended prices per 1M tokens.
  • For context window size, GLM-5.2 (max) (262k), GLM-5.2 (Non-reasoning) (262k), and Qwen3.6 35B A3B (262k) support the largest context windows on Scaleway.

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 v4.3 incorporates 10 evaluations: AA-Briefcase, GDPval-AA v2, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1
Estimate (independent evaluation forthcoming)

Intelligence Evaluations

Intelligence evaluations measured independently by Artificial Analysis · Higher is better
See more

Agentic knowledge work, (Elo-500)/2000

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

Agentic SaaS workflows

Agentic coding & terminal use

Coding

Reasoning & knowledge

Professional document reasoning, All-pass

Physics reasoning

Long context reasoning

Legal agentic work, criterion pass rate

Agentic business operations

Quantitative analysis on spreadsheets & documents

No data available

Agentic tool use

Kubernetes incident root-cause analysis

Visual reasoning

Medical long context reasoning

Intelligence Index vs. Price

Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended)
Most attractive quadrant
Pareto line

Context Window

Context Window

Context window: tokens limit · Higher is better

Pricing

Intelligence Index vs. Price

Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended)
Most attractive quadrant
Pareto line

Performance Summary

Output Speed vs. Price

Output speed: output tokens per second · USD per 1M tokens (blended)
Most attractive quadrant
Pareto line

Speed

Measured by Output Speed (tokens per second)

Output Speed

Output tokens per second · Higher is better

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

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
Pareto line

Further Analysis
Z AI logo
GLM-5.2 (max)
262k
Open
34
$4.37
76
1.83
34.54
26.17
Z AI logo
GLM-5.2 (Non-reasoning)
262k
Open
22*
--
81
1.78
7.97
--
Alibaba logo
Qwen3.6 35B A3B
262k
Open
19
$0.37
96
1.06
62.67
56.38
Alibaba logo
Qwen3.6 35B A3B (Non-reasoning)
262k
Open
15*
--
91
1.05
6.52
--
Google logo
Gemma 4 26B A4B (Non-reasoning)
262k
Open
13*
--
158
0.89
4.05
--
OpenAI logo
gpt-oss-120b (high)
128k
Open
12
$0.12
96
1.41
27.34
20.74
Alibaba logo
Qwen3 235B 2507 (Non-reasoning)
250k
Open
12*
--
85
1.46
7.35
--
Alibaba logo
Qwen3 Coder 30B A3B
128k
Open
10*
--
138
1.08
4.70
--
Meta logo
Llama 3.3 70B
100k
Open
8*
--
79
1.37
7.72
--

Key definitions

Frequently Asked Questions

Common questions about Scaleway