Bitdeer AI: Models Intelligence, Performance & Price

Bitdeer AI
Bitdeer AI

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

Most Intelligent

Updated
#1
Kimi K3 (max)Kimi K3 (max)
50
#2
Qwen3.8 2.4T A95B (FP8)Qwen3.8 2.4T A95B (FP8)
47
#3
GLM-5.3-FlashGLM-5.3-Flash
46
#4
GLM-5.2 (max)GLM-5.2 (max)
42
#5
DeepSeek V4 Flash 0731 (max)DeepSeek V4 Flash 0731 (max)
41

Intelligence index

Total 11 models

Fastest

#1
Nemotron 3.5 Lightning (BF16)Nemotron 3.5 Lightning (BF16)
227 t/s
#2
MiniMax-M3MiniMax-M3
134 t/s
#3
DeepSeek V4 Flash 0731 (max)DeepSeek V4 Flash 0731 (max)
111 t/s
#4
Qwen3.8 2.4T A95B (FP8)Qwen3.8 2.4T A95B (FP8)
102 t/s
#5
Kimi K3 (max)Kimi K3 (max)
87 t/s

Output speed

Total 11 models

Lowest Price

#1
DeepSeek V4 Flash 0731 (max)DeepSeek V4 Flash 0731 (max)
$0.02
#2
GLM-5.3-FlashGLM-5.3-Flash
$0.05
#3
Nemotron 3.5 Lightning (BF16)Nemotron 3.5 Lightning (BF16)
$0.15
#4
MiniMax-M3MiniMax-M3
$0.21
#5
GLM-5.2 (max)GLM-5.2 (max)
$0.37

Blended price (per 1M tokens)

Total 11 models

Bitdeer AI offers 11 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 Bitdeer AI are Kimi K3 (max) (50), Qwen3.8 2.4T A95B (FP8) (47), and GLM-5.3-Flash (46).
  • For output speed, the fastest models are Nemotron 3.5 Lightning (BF16) (227 t/s), MiniMax-M3 (134 t/s), and DeepSeek V4 Flash 0731 (max) (111 t/s). Speed varies significantly across models, with a 161% difference between the fastest and slowest.
  • For latency, DeepSeek V4 Pro (Non-reasoning) (2.71s), Nemotron 3.5 Lightning (BF16) (10.62s), and GLM-5.2 (Non-reasoning) (16.71s) offer the lowest time to first answer token.
  • For pricing, DeepSeek V4 Flash 0731 (max) ($0.02), GLM-5.3-Flash ($0.05), and Nemotron 3.5 Lightning (BF16) ($0.15) offer the lowest blended prices per 1M tokens. Prices vary up to 16.1x across models.
  • For context window size, GLM-5.3-Flash (1M), GLM-5.2 (max) (1M), and DeepSeek V4 Flash 0731 (max) (1M) support the largest context windows on Bitdeer AI.

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 v4.2 incorporates 10 evaluations: AA-Briefcase, GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1
Estimate (independent evaluation forthcoming)

Artificial Analysis Intelligence Index v4.2 includes: AA-Briefcase, GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1. 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 knowledge work, (Elo-500)/2000

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

Agentic tool use

Agentic coding & terminal use

Coding

Reasoning & knowledge

Professional document reasoning, All-pass

Physics reasoning

Long context reasoning

Agentic SaaS workflows

Legal agentic work, criterion pass rate

Agentic business operations

Scientific reasoning

Quantitative analysis on spreadsheets & documents

Instruction following

Long-horizon agentic tasks

Kubernetes incident root-cause analysis

Visual reasoning

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

Artificial Analysis Intelligence Index v4.2 includes: AA-Briefcase, GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1. 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

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

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

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
Pareto line

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

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

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

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
Kimi logo
Kimi K3 (max)
262k
Open
50
$2.12
87
1.72
30.51
23.04
Alibaba logo
Qwen3.8 2.4T A95B (FP8)
262k
Open
47
$0.84
102
3.04
27.63
19.67
Z AI logo
GLM-5.3-Flash
1M
Open
46
$0.10
80
2.28
33.47
24.96
Z AI logo
GLM-5.2 (max)
1M
Open
42
$0.21
46
2.93
57.07
43.32
DeepSeek logo
DeepSeek V4 Flash 0731 (max)
1M
Open
41
$0.03
111
1.71
24.20
17.99
MiniMax logo
MiniMax-M3
524k
Open
36
$0.28
134
2.46
21.11
14.92
DeepSeek logo
DeepSeek V4 Pro (high)
1M
Open
35*
--
50
2.26
52.54
40.19
DeepSeek logo
DeepSeek V4 Pro (max)
1M
Open
35
$0.22
51
2.99
99.15
86.29
Z AI logo
GLM-5.2 (Non-reasoning)
1M
Open
26*
--
41
16.71
28.86
--
DeepSeek logo
DeepSeek V4 Pro (Non-reasoning)
1M
Open
25*
--
33
2.71
17.66
--
NVIDIA logo
Nemotron 3.5 Lightning (BF16)
262k
Open
16*
--
227
1.80
12.82
8.82

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 Bitdeer AI

The most intelligent model available on Bitdeer AI is Kimi K3 (max) with an Intelligence Index score of 50.

The fastest model on Bitdeer AI by output speed is Nemotron 3.5 Lightning (BF16) at 226.8 tokens per second.

The model with the lowest time to first answer token on Bitdeer AI is DeepSeek V4 Pro (Non-reasoning) at 2.71s. Lower latency means faster initial response time.

The most affordable model on Bitdeer AI by blended price is DeepSeek V4 Flash 0731 (max) at $0.02 per 1M tokens (7:2:1 cache hit/input/output ratio).

Prices on Bitdeer AI vary up to 89x across models, from $0.02 per 1M tokens for DeepSeek V4 Flash 0731 (max) to $2.05 per 1M tokens for Kimi K3 (max).

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

Yes, all 11 models on Bitdeer AI support JSON mode for structured output.

Yes, all 11 models on Bitdeer AI support function calling (tool use).

Yes, Bitdeer AI offers 9 reasoning models: Kimi K3 (max), Qwen3.8 2.4T A95B (FP8), GLM-5.3-Flash, GLM-5.2 (max), DeepSeek V4 Flash 0731 (max), MiniMax-M3, DeepSeek V4 Pro (high), DeepSeek V4 Pro (max), and Nemotron 3.5 Lightning (BF16). Reasoning models use extended thinking to work through complex problems before providing an answer.

Yes, all 11 models on Bitdeer AI 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 Bitdeer AI, 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.