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Grok 4.20 Multi-Agent vs o3 Deep Research

Signal-by-Signal Comparison
SignalGrok 4.20 Multi-AgentDeltao3 Deep Research
Capabilities
83
-17
100
Benchmarks
86
-2
88
Pricing
98
+38
60
Context window size
90
+14
76
Recency
100
+17
83
Output Capacity
20
-63
83
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History

Score History (21 data points)
Grok 4.20 Multi-Agento3 Deep Research
Grok 4.20 Multi-Agent

87.4

current score

Leader

Grok 4.20 Multi-Agent

right now

o3 Deep Research

86.3

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Grok 4.20 Multi-Agent

xAI

Best Value
Per request$0.002500
Daily$8.33
Monthly$250.00
Annual$3000.00

o3 Deep Research

OpenAI

Per request$0.030000
Daily$100.00
Monthly$3000.00
Annual$36000.00

Grok 4.20 Multi-Agent saves you $2750.00/month

That's $33000.00/year compared to o3 Deep Research at your current usage level of 100K calls/month.

92% cheaper
Choose Grok 4.20 Multi-Agent for cost optimization

Grok 4.20 Multi-Agent pricing:
Input:$1.25/M tokens
Output:$2.50/M tokens
o3 Deep Research pricing:
Input:$10.00/M tokens
Output:$40.00/M tokens
Winner
Grok 4.20 Multi-Agent

xAI

87

Composite Score

o3 Deep Research

OpenAI

86

Composite Score

Signal-by-Signal Comparison
MetricGrok 4.20 Multi-Agento3 Deep ResearchWinner
Overall Score
87
86
Grok 4.20 Multi-Agent
Rank#37#39
Grok 4.20 Multi-Agent
Quality Rank#37#39
Grok 4.20 Multi-Agent
Adoption Rank#37#39
Grok 4.20 Multi-Agent
Parameters------
Context Window2000K200K
Grok 4.20 Multi-Agent
Pricing$1.25/$2.50/M$10.00/$40.00/M--
Signal Scores
Capabilities
83
100
o3 Deep Research
Benchmarks
86
88
o3 Deep Research
Pricing
98
60
Grok 4.20 Multi-Agent
Context window size
90
76
Grok 4.20 Multi-Agent
Recency
100
83
Grok 4.20 Multi-Agent
Output Capacity
20
83
o3 Deep Research
Benchmark Head-to-Head(12 benchmarks)
Grok 4.20: 1o3 Deep: 10
Grok 4.20
o3 Deep
Normalized 0-100%
MMLU
91.5%92.3%
MMLU-Pro
83.5%85.8%
GPQA Diamond
82%87.7%
MATH-500
95%99%
HumanEval
95.5%97%
SWE-bench Verified
70%71.7%
AIME 2024
88%96.7%
IFEval
91%92%
BBH
90%93%
Arena Elo
14621415
LiveBench
73%74.8%
HLE
-30.1%
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Grok 4.20 Multi-AgentElite Tier

Scores 87/100 (rank #37), placing it in the top 88% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
o3 Deep ResearchElite Tier

Scores 86/100 (rank #39), placing it in the top 87% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 1-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Grok 4.20 Multi-Agent when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (2000K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose o3 Deep Research when you need:

  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Grok 4.20 Multi-AgentBest Value
Input cost$1.25/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.043
Est. monthly (1M tokens/day)$56.25
o3 Deep Research
Input cost$10.00/M tokens
Output cost$40.00/M tokens
Cost per quality point$0.579
Est. monthly (1M tokens/day)$750.00

Grok 4.20 Multi-Agent offers 93% better value per quality point. At 1M tokens/day, you'd spend $56.25/month with Grok 4.20 Multi-Agent vs $750.00/month with o3 Deep Research - a $693.75 monthly difference.

Latency & Speed
Grok 4.20 Multi-AgentFaster
Speed score0/100
o3 Deep Research
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Grok 4.20 Multi-Agent

Customer support chatbot

Suitable for user-facing chat with competitive response times. Grok 4.20 Multi-Agent also offers lower per-token costs for high-volume support

Grok 4.20 Multi-Agent

Long document analysis

Larger context window (2000K tokens) can process longer documents, contracts, and research papers in a single pass

Grok 4.20 Multi-Agent

Batch data extraction

Lower output pricing ($2.50/M) reduces costs when processing thousands of records daily

Grok 4.20 Multi-Agent

Creative writing & content

Higher overall composite score (87/100) correlates with better nuance, coherence, and style in long-form content

Grok 4.20 Multi-Agent

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Grok 4.20 Multi-Agent
Which Should You Choose?
Our recommendation:
Grok 4.20 Multi-Agent

Grok 4.20 Multi-Agent and o3 Deep Research are extremely close in overall performance (only 1.1000000000000085 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by xAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 93% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by OpenAI

Consider for specialized use cases.

Capability Comparison
CapabilityGrok 4.20 Multi-Agento3 Deep Research
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Grok 4.20 Multi-Agent

xAI

Best Value
$5.25
estimated monthly cost

o3 Deep Research

OpenAI

$66.00
estimated monthly cost

Grok 4.20 Multi-Agent saves you $60.75/month

That's 92% cheaper than o3 Deep Research at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGrok 4.20 Multi-Agento3 Deep Research
Context Window2M200K
Max Output Tokens--100,000
Open SourceNoNo
CreatedMar 31, 2026Oct 10, 2025
Last updated: 45m ago

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