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Head-to-Head Model Comparison

Llama 4 Behemoth vs Aion-3.0

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs अनुसंधान दल द्वारा समीक्षितअंतिम समीक्षा: October 2026संपादकीय नीति
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MetaAionLabsopen-sourceflagship

Compare Llama 4 Behemoth by Meta against Aion-3.0 by AionLabs across real-world coding, reasoning, token economics, and latency.

आमने-सामने मॉडल तुलना (VS)

किसी भी मॉडल को बदलें और तुलना करें

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Live comparison: no in-depth editorial review has been published for this pair yet.

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Meta

Llama 4 Behemoth

ओपन-वेट्स मॉडल

Meta द्वारा विकसित Llama 4 Behemoth एक उन्नत AI मॉडल है, जिसमें 10M टोकन का कॉन्टेक्स्ट विंडो और $0/1M इनपुट तथा $0/1M आउटपुट मूल्य निर्धारण है। यह कोडिंग, विश्लेषण और एंटरप्राइज वर्कफ़्लो के लिए उपयुक्त है।

Intelligence Index93 / 100
Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

10M tokens

SWE-bench Verified:

75%

AionLabs

Aion-3.0

डीप रीजनिंग मॉडल

AionLabs द्वारा विकसित Aion-3.0 एक उन्नत AI मॉडल है, जिसमें 131K टोकन का कॉन्टेक्स्ट विंडो और $0.5/1M इनपुट तथा $2/1M आउटपुट मूल्य निर्धारण है। यह कोडिंग, विश्लेषण और एंटरप्राइज वर्कफ़्लो के लिए उपयुक्त है।

Intelligence Index83 / 100
Input Token:

$0.50 / 1M

Output Token:

$2.00 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

N/A

एक नज़र में मुख्य अंतर

  • Llama 4 Behemoth is 1.0x cheaper for API usage (input + output tokens combined).
  • Llama 4 Behemoth has a larger context window (10M vs 131K tokens).
  • Aion-3.0 is faster at 80 tok/s vs 45 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureLlama 4 BehemothAion-3.0
Intelligence Index
Composite reasoning & knowledge score (0-100)
9383
Provider
MetaAionLabs
Input Price
Cost per million input tokens
$0.00 / 1M$0.50 / 1M
Output Price
Cost per million output tokens
$0.00 / 1M$2.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.00 / 1M$0.34 / 1M
Context Window
Maximum input + output tokens
10M tokens~15,000 A4 pages of text131.1K tokens~197 A4 pages of text
Max Output Tokens
Per single request
64K16K
Throughput Speed
Tokens generated per second
45 tok/s80 tok/s
SWE-bench Verified
Real-world software engineering
75%N/A
GPQA Diamond
Graduate-level reasoning
82%63.5%
Cached Input Price
Prompt caching discount per 1M tokens
$0.00 / 1M$0.05 / 1M

किस क्षेत्र में कौन आगे है?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Llama 4 Behemoth
1.0x cheaper monthly runtime
Speed
Aion-3.0
+78% faster generation
Context
Llama 4 Behemoth
10M tokens window

सत्यापित बेंचमार्क स्कोर तुलना

Official evaluation metrics verified by independent third-party research labs.

Llama 4 BehemothAion-3.0
SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

75%vsN/A
GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

82%vs63.5%
MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

88.5%vs80%
LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1490ptsvs1335pts
Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

95%vsN/A
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

45 tok/s vs80 tok/s

लेटेंसी और रिस्पॉन्स समय

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better
Llama 4 Behemoth1.20s
Aion-3.00.52s
Est. End-to-End Response (500 tokens)TTFT + generation time
Llama 4 Behemoth12.31s
Aion-3.06.77s

रियल-टाइम टोकन लागत सिम्युलेटर

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
Llama 4 Behemoth Monthly API Bill
$0.00 / month
$0/1M in · $0/1M out
Aion-3.0 Monthly API Bill
$2.63 / month
$0.5/1M in · $2/1M out
Llama 4 Behemoth saves approximately $2.63 / month (100%) under this workload.1.0x Savings

Llama 4 Behemoth · Strengths & Key Advantages

  • Meta की उन्नत Colossal sparse MoE architecture (288B active / 2T total, 16-of-2 MoE) आर्किटेक्चर और 10M कॉन्टेक्स्ट विंडो क्षमता
  • किफायती और पारदर्शी API मूल्य ($0/1M इनपुट, $0/1M आउटपुट) तेज़ रिस्पॉन्स के साथ
  • जटिल कोडिंग, तार्किक विश्लेषण और बहुभाषी कार्यों में उच्च सटीकता
Considerations & Trade-offs
  • बड़े पैमाने पर लंबे कॉन्टेक्स्ट प्रॉम्प्ट्स के लिए टोकन बजट प्रबंधन आवश्यक है
  • विशिष्ट डोमेन कार्यों में सर्वोत्तम परिणाम के लिए सटीक प्रॉम्प्ट इंजीनियरिंग की आवश्यकता होती है

Aion-3.0 · Strengths & Key Advantages

  • AionLabs की उन्नत Deliberate Scientific Reasoning Transformer आर्किटेक्चर और 131K कॉन्टेक्स्ट विंडो क्षमता
  • किफायती और पारदर्शी API मूल्य ($0.5/1M इनपुट, $2/1M आउटपुट) तेज़ रिस्पॉन्स के साथ
  • जटिल कोडिंग, तार्किक विश्लेषण और बहुभाषी कार्यों में उच्च सटीकता
Considerations & Trade-offs
  • बड़े पैमाने पर लंबे कॉन्टेक्स्ट प्रॉम्प्ट्स के लिए टोकन बजट प्रबंधन आवश्यक है
  • विशिष्ट डोमेन कार्यों में सर्वोत्तम परिणाम के लिए सटीक प्रॉम्प्ट इंजीनियरिंग की आवश्यकता होती है

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

MetricLlama 4 BehemothAion-3.0
Cost per Task
Estimated USD to finish one task
$0.00$0.16
Output Tokens / Task
Tokens generated per task
35K20K
Reasoning Tokens / Task
Thinking tokens burned per task
15K7K

तकनीकी विशिष्टताएँ (Specs)

Architecture, release timeline, capabilities, and modalities.

FeatureLlama 4 BehemothAion-3.0
Official API Model ID (SDK)meta-llama/Llama-4-Behemothaion-3-0
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIAionLabs REST API (OpenAI-Compatible)
Release Date2026-052026-07
Knowledge CutoffFebruary 2026May 2026
ArchitectureColossal sparse MoE architecture (288B active / 2T total, 16-of-2 MoE)Deliberate Scientific Reasoning Transformer
Parameters2T total / 288B active (16-of-2 MoE)Confidential
Enterprise Rate Limits (RPM / TPM)Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Free across full context window (only KV-cache VRAM scales)Flat rate ($0.5/1M in) across full 131K window
Prompt Cache Policy & TTLAutomatic prefix KV-caching in vLLM / SGLang (0 cost)Cached input at $0.05/1M tokens
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportFull Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)API Prompt Engineering & RAG Distillation
Multimodal Token BillingText BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)Text BPE (~4 chars/token)
Quantization & Min GPU VRAMBF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 1240 GB VRAM (4-bit Quantized) · 4300 GB VRAM (Native BF16)Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier ClassificationOpen-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)AionLabs Production Safety & Alignment Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 ControlSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestext, visiontext
Output Modalitiestexttext

Llama 4 Behemoth vs Aion-3.0: त्वरित प्रश्नोत्तर (FAQ)

Which is more intelligent, Llama 4 Behemoth or Aion-3.0?

Llama 4 Behemoth is more intelligent. It scores 93 compared with 83 on the composite Intelligence Index.

Which model is faster?

Aion-3.0 is faster, generating 80 tokens per second compared with 45 tokens per second.

Which model is cheaper to run?

Llama 4 Behemoth is cheaper at $0.00 per 1M tokens blended, compared with $0.34 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Aion-3.0 has lower latency, with a time to first token of 0.52s compared with 1.20s.

Which model has a larger context window?

Llama 4 Behemoth has a larger context window, supporting 10M tokens compared with 131.1K tokens.

निष्कर्ष

Choose Llama 4 Behemoth for एंटरप्राइज ऑटोमेशन, सॉफ्टवेयर डेवलपमेंट, ai एजेंट्स और meta आधारित प्रोडक्शन सिस्टम, or choose Aion-3.0 for एंटरप्राइज ऑटोमेशन, सॉफ्टवेयर डेवलपमेंट, ai एजेंट्स और aionlabs आधारित प्रोडक्शन सिस्टम.

अक्सर पूछे जाने वाले प्रश्न (FAQ)

Which is cheaper: Llama 4 Behemoth or Aion-3.0?+

Llama 4 Behemoth costs $0/1M input and $0/1M output tokens, while Aion-3.0 costs $0.5/1M input and $2/1M output tokens.

Which model has a larger context window: Llama 4 Behemoth or Aion-3.0?+

Llama 4 Behemoth supports 10M tokens whereas Aion-3.0 supports 131K tokens.

AI Terminology & Guide
Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

स्रोत: Meta & AionLabs Official Documentation