Scaleway: Models Intelligence, Performance & Price

Scaleway
Scaleway

Analysis of Scaleway'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 Scaleway for your use-case.

Most Intelligent

#1
GLM-5.2 (max)
GLM-5.2 (max)
53
#2
GLM-5.2
GLM-5.2
35
#3
Qwen3.6 35B A3B
Qwen3.6 35B A3B
32
#4
Qwen3.6 35B A3B
Qwen3.6 35B A3B
25
#5
gpt-oss-120b (high)
gpt-oss-120b (high)
24

Intelligence index

Total 10 models

Fastest

#1
gpt-oss-120b (high)
gpt-oss-120b (high)
152 t/s
#2
Qwen3 Coder 30B A3B
Qwen3 Coder 30B A3B
148 t/s
#3
Gemma 4 26B A4B
Gemma 4 26B A4B
145 t/s
#4
Llama 3.1 8B
Llama 3.1 8B
141 t/s
#5
Qwen3.6 35B A3B
Qwen3.6 35B A3B
112 t/s

Output speed

Total 10 models

Lowest Price

#1
gpt-oss-120b (high)
gpt-oss-120b (high)
$0.22
#2
Llama 3.1 8B
Llama 3.1 8B
$0.23
#3
Gemma 4 26B A4B
Gemma 4 26B A4B
$0.28
#4
Qwen3 Coder 30B A3B
Qwen3 Coder 30B A3B
$0.30
#5
Qwen3.6 35B A3B
Qwen3.6 35B A3B
$0.44

Blended price (per 1M tokens)

Total 10 models

Indicates a reasoning model

Scaleway offers 10 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) (53), GLM-5.2 (35), and Qwen3.6 35B A3B (32).
  • For output speed, the fastest models are gpt-oss-120b (high) (152 t/s), Qwen3 Coder 30B A3B (148 t/s), and Gemma 4 26B A4B (145 t/s).
  • For latency, Gemma 4 26B A4B (0.91s), Qwen3.6 35B A3B (0.93s), and Llama 3.1 8B (0.97s) offer the lowest time to first answer token.
  • For pricing, gpt-oss-120b (high) ($0.22), Llama 3.1 8B ($0.23), and Gemma 4 26B A4B ($0.28) offer the lowest blended prices per 1M tokens.
  • For context window size, GLM-5.2 (max) (262k), GLM-5.2 (262k), and Qwen3.6 35B A3B (262k) support the largest context windows on Scaleway.
  • gpt-oss-120b (high) offers both the fastest output and best pricing, making it attractive for throughput-sensitive and cost-conscious applications. GLM-5.2 (max) leads in intelligence for tasks that require the highest quality.

Highlights

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 v4.1.1 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 v4.1.1 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
See more

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

Agentic tool use

Agentic coding & terminal use

Coding

Reasoning & knowledge

Scientific reasoning

Physics reasoning

Knowledge

1 - hallucination rate

AA-LCRUpdated

Long context reasoning

Agentic knowledge work, Elo

Agentic SaaS workflows

Legal agentic work, criterion 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 v4.1.1 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 Index vs. Price

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

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 Index vs. Price

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

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
Pareto line
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).

Further Analysis
Z AI logo
GLM-5.2 (max)
262k
Open
53
$1.57
64
1.94
41.08
31.31
Z AI logo
GLM-5.2
262k
Open
35
--
50
1.94
11.89
--
Alibaba logo
Qwen3.6 35B A3B
262k
Open
32
$0.23
112
1.00
53.63
48.17
Alibaba logo
Qwen3.6 35B A3B
262k
Open
25
$0.49
112
0.93
5.40
--
OpenAI logo
gpt-oss-120b (high)
128k
Open
24
$0.08
152
1.16
17.65
13.19
Google logo
Gemma 4 26B A4B
262k
Open
20*
--
145
0.91
4.36
--
Alibaba logo
Qwen3 235B 2507
250k
Open
18*
--
84
1.41
7.38
--
Alibaba logo
Qwen3 Coder 30B A3B
128k
Open
14*
--
148
0.99
4.38
--
DeepSeek logo
DeepSeek R1 Distill Llama 70B
32k
Open
10*
--
--
--
--
--
Meta logo
Llama 3.3 70B
100k
Open
9
$0.16
85
1.32
7.18
--
Meta logo
Llama 3.1 8B
128k
Open
8
--
141
0.97
4.50
--

Key definitions

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

Frequently Asked Questions

Common questions about Scaleway

The most intelligent model available on Scaleway is GLM-5.2 (max) with an Intelligence Index score of 53.

The fastest model on Scaleway by output speed is gpt-oss-120b (high) at 151.6 tokens per second.

The model with the lowest time to first answer token on Scaleway is Gemma 4 26B A4B at 0.91s. Lower latency means faster initial response time.

The most affordable model on Scaleway by blended price is gpt-oss-120b (high) at $0.22 per 1M tokens (7:2:1 cache hit/input/output ratio).

Prices on Scaleway vary up to 11x across models, from $0.22 per 1M tokens for gpt-oss-120b (high) to $2.52 per 1M tokens for GLM-5.2.

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

Yes, all 10 models on Scaleway support JSON mode for structured output.

Yes, all 10 models on Scaleway support function calling (tool use).

Yes, Scaleway offers 3 reasoning models: GLM-5.2 (max), Qwen3.6 35B A3B, and gpt-oss-120b (high). Reasoning models use extended thinking to work through complex problems before providing an answer.

Yes, all 10 models on Scaleway are open weight models.

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 Scaleway, 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.