What models does Nebius offer?

Nebius offers 35 models that we track: Kimi K3 (max), GLM-5.2 (max) (FP4), DeepSeek V4 Flash 0731 (max), MiniMax-M3 (FP8), DeepSeek V4 Pro (max), Kimi K2.6, DeepSeek V4 Pro (high), Kimi K2.7 Code (FP4), GLM-5.1 (FP8, Base), Nemotron 3 Ultra, GLM-5.1 (FP8, Base), Kimi K2.6, GLM-5.2 (FP4), MiniMax-M2.5 (FP4), Qwen3.5 397B A17B (Base, FP4), Qwen3.5 397B A17B (Base, FP4), DeepSeek V4 Pro, Nemotron 3 Super, gpt-oss-120b (high) (Base), Nemotron 3.5 Lightning (BF16), Qwen3 235B 2507, Qwen3 Next 80B A3B (FP8), Nemotron 3 Nano Omni 30B A3B (FP8), gpt-oss-120b (low) Base, Nemotron 3 Nano, Qwen3 32B Base, Hermes 4 70B (FP8), Llama 3.3 70B Base, Llama Nemotron Ultra Base, Qwen3 30B A3B 2507, Hermes 4 405B (FP8), Hermes 4 405B (FP8), Qwen3 32B Base, Gemma 3 27B (FP8), and Hermes 4 70B (FP8).

Artificial Analysis

Nebius: Models Intelligence, Performance & Price

Name: Intelligence
Creator: Artificial Analysis
License: https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf

Nebius

Analysis of Nebius'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 Nebius for your use-case.

Most Intelligent

Kimi K3 (max)

GLM-5.2 (max) (FP4)

DeepSeek V4 Flash 0731 (max)

MiniMax-M3 (FP8)

DeepSeek V4 Pro (max)

Intelligence index

Total 35 models

Fastest

Nemotron 3 Ultra

453 t/s

Nemotron 3 Super

386 t/s

Nemotron 3 Nano Omni 30B A3B (FP8)

324 t/s

gpt-oss-120b (high) (Base)

320 t/s

DeepSeek V4 Flash 0731 (max)

313 t/s

Output speed

Total 35 models

Lowest Price

Nemotron 3.5 Lightning (BF16)

$0.08

Nemotron 3 Nano Omni 30B A3B (FP8)

$0.08

Nemotron 3 Nano

$0.08

Qwen3 32B Base

$0.12

Qwen3 30B A3B 2507

$0.12

Blended price (per 1M tokens)

Total 35 models

Indicates a reasoning model

Nebius offers 35 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 Nebius are Kimi K3 (max) (60), GLM-5.2 (max) (FP4) (53), and DeepSeek V4 Flash 0731 (max) (52).
For output speed, the fastest models are Nemotron 3 Ultra (453 t/s), Nemotron 3 Super (386 t/s), and Nemotron 3 Nano Omni 30B A3B (FP8) (324 t/s).
For latency, Qwen3 30B A3B 2507 (1.08s), GLM-5.2 (FP4) (1.12s), and Hermes 4 70B (FP8) (1.37s) offer the lowest time to first answer token.
For pricing, Nemotron 3.5 Lightning (BF16) ($0.08), Nemotron 3 Nano Omni 30B A3B (FP8) ($0.08), and Nemotron 3 Nano ($0.08) offer the lowest blended prices per 1M tokens.
For context window size, MiniMax-M3 (FP8) (1M), Kimi K3 (max) (1M), and DeepSeek V4 Flash 0731 (max) (1M) support the largest context windows on Nebius.

Highlights

Intelligence

Artificial Analysis Intelligence Index · Higher is better

Speed

Output tokens per second · Higher is better

Price

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

GDPval-AA v2

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

𝜏³-BankingUpdated

Agentic tool use

Terminal-Bench v2.1

Agentic coding & terminal use

SciCode

Coding

Humanity's Last ExamUpdated

Reasoning & knowledge

GPQA Diamond

Scientific reasoning

CritPt

Physics reasoning

AA-Omniscience AccuracyUpdated

Knowledge

AA-Omniscience Non-Hallucination RateUpdated

1 - hallucination rate

AA-LCRUpdated

Long context reasoning

AA-Briefcase

Agentic knowledge work, Elo

AutomationBench-AA

Agentic SaaS workflows

Harvey LAB-AA

Legal agentic work, criterion pass rate

EnterpriseOps-Gym-AA

Agentic business operations

AA-AnalystAgentNew

Quantitative analysis on spreadsheets & documents

IFBench

Instruction following

APEX-Agents-AA

Long-horizon agentic tasks

ITBench-AA

Kubernetes incident root-cause analysis

MMMU-Pro

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.

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: 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

Pareto line

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
Kimi K3 (max)	1.05M	Open	60	$3.11	144	1.56	18.88	13.86	Model Provider
GLM-5.2 (max) (FP4)	432k	Open	53	$1.06	165	1.17	16.31	12.12	Model Provider
DeepSeek V4 Flash 0731 (max)	1.05M	Open	52	$0.20	313	1.74	9.72	6.39	Model Provider
MiniMax-M3 (FP8)	1.05M	Open	45	$0.45	191	1.95	15.07	10.50	Model Provider
DeepSeek V4 Pro (max)	1M	Open	45	$0.90	140	1.32	36.21	31.31	Model Provider
Kimi K2.6	262k	Open	45	$0.76	247	1.94	22.02	18.06	Model Provider
DeepSeek V4 Pro (high)	1M	Open	44	$0.94	131	1.46	20.45	15.18	Model Provider
Kimi K2.7 Code (FP4)	256k	Open	43	$0.64	246	1.73	12.80	9.05	Model Provider
GLM-5.1 (FP8, Base)	200k	Open	41	$0.58	30	1.86	145.09	126.55	Model Provider
Nemotron 3 Ultra	256k	Open	38	$0.60	453	2.29	8.42	5.03	Model Provider
GLM-5.1 (FP8, Base)	200k	Open	36*	--	33	1.80	17.09	--	Model Provider
Kimi K2.6	262k	Open	35*	--	222	1.88	4.14	--	Model Provider
GLM-5.2 (FP4)	432k	Open	35	--	143	1.12	4.61	--	Model Provider
MiniMax-M2.5 (FP4)	196k	Open	34*	--	82	1.77	32.42	24.52	Model Provider
Qwen3.5 397B A17B (Base, FP4)	262k	Open	34	$0.36	128	2.02	30.81	24.89	Model Provider
Qwen3.5 397B A17B (Base, FP4)	262k	Open	33*	--	136	2.01	5.67	--	Model Provider
DeepSeek V4 Pro	1.05M	Open	32*	--	150	1.48	4.81	--	Model Provider
Nemotron 3 Super	256k	Open	26	$0.33	386	1.85	8.32	5.18	Model Provider
gpt-oss-120b (high) (Base)	128k	Open	24	$0.07	320	1.04	8.86	6.26	Model Provider
Nemotron 3.5 Lightning (BF16)	1.05M	Open	24	$0.07	274	1.75	10.87	7.30	Model Provider
Qwen3 235B 2507	262k	Open	18*	--	65	1.44	9.14	--	Model Provider
Qwen3 Next 80B A3B (FP8)	262k	Open	17	$0.04	98	1.16	26.70	20.43	Model Provider
Nemotron 3 Nano Omni 30B A3B (FP8)	65.5k	Open	15*	--	324	1.02	8.73	6.17	Model Provider
gpt-oss-120b (low) Base	128k	Open	15	$0.02	286	1.00	9.75	7.00	Model Provider
Nemotron 3 Nano	262k	Open	15	$0.03	308	1.10	9.21	6.49	Model Provider
Qwen3 32B Base	32.8k	Open	11	--	27	1.92	93.68	73.41	Model Provider
Hermes 4 70B (FP8)	128k	Open	10*	--	74	1.47	35.33	27.09	Model Provider
Llama 3.3 70B Base	128k	Open	9*	--	7	10.14	80.41	--	Model Provider
Llama Nemotron Ultra Base	131k	Open	9*	--	52	2.33	50.38	38.44	Model Provider
Qwen3 30B A3B 2507	262k	Open	9*	--	57	1.08	9.79	--	Model Provider
Hermes 4 405B (FP8)	128k	Open	9*	--	33	2.59	79.39	61.44	Model Provider
Hermes 4 405B (FP8)	128k	Open	9*	--	35	2.42	16.91	--	Model Provider
Qwen3 32B Base	32.8k	Open	8*	--	26	1.82	20.71	--	Model Provider
Gemma 3 27B (FP8)	110k	Open	7	$0.09	54	2.99	12.30	--	Model Provider
Hermes 4 70B (FP8)	128k	Open	7*	--	74	1.37	8.16	--	Model Provider

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 Nebius

The most intelligent model available on Nebius is Kimi K3 (max) with an Intelligence Index score of 60.

The fastest model on Nebius by output speed is Nemotron 3 Ultra at 452.6 tokens per second.

The model with the lowest time to first answer token on Nebius is Qwen3 30B A3B 2507 at 1.08s. Lower latency means faster initial response time.

The most affordable model on Nebius by blended price is Nemotron 3.5 Lightning (BF16) at $0.08 per 1M tokens (7:2:1 cache hit/input/output ratio).

Prices on Nebius vary up to 54x across models, from $0.08 per 1M tokens for Nemotron 3.5 Lightning (BF16) to $4.20 per 1M tokens for Kimi K3 (max).

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

Yes, all 35 models on Nebius support JSON mode for structured output.

Yes, all 35 models on Nebius support function calling (tool use).

Yes, Nebius offers 23 reasoning models: Kimi K3 (max), GLM-5.2 (max) (FP4), DeepSeek V4 Flash 0731 (max), MiniMax-M3 (FP8), DeepSeek V4 Pro (max), Kimi K2.6, DeepSeek V4 Pro (high), Kimi K2.7 Code (FP4), GLM-5.1 (FP8, Base), Nemotron 3 Ultra, MiniMax-M2.5 (FP4), Qwen3.5 397B A17B (Base, FP4), Nemotron 3 Super, gpt-oss-120b (high) (Base), Nemotron 3.5 Lightning (BF16), Qwen3 Next 80B A3B (FP8), Nemotron 3 Nano Omni 30B A3B (FP8), gpt-oss-120b (low) Base, Nemotron 3 Nano, Qwen3 32B Base, Hermes 4 70B (FP8), Llama Nemotron Ultra Base, and Hermes 4 405B (FP8). Reasoning models use extended thinking to work through complex problems before providing an answer.

Yes, all 35 models on Nebius 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 Nebius, 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.

Nebius: Models Intelligence, Performance & Price

Most Intelligent

Fastest

Lowest Price

Intelligence