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Gemini 2.5 Pro vs Llama 4 Scout

Gemini 2.5 Pro

Google

84#47
vs
Llama 4 Scout

Meta

55#165
Signal-by-Signal Comparison
SignalGemini 2.5 ProDeltaLlama 4 Scout
Capabilities
100
+33
67
Benchmarks
80
+28
52
Pricing
90
-10
100
Context window size
96
-2
97
Recency
59
+13
46
Output Capacity
80
+10
70
Overall Result
4 wins
of 6
2 wins
Gemini 2.5 Pro wins 4 of 6 signals

Score History

Score History (24 data points)
Gemini 2.5 ProLlama 4 Scout
Gemini 2.5 Pro

83.5

current score

Leader

Gemini 2.5 Pro

right now

Llama 4 Scout

54.7

current score

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

Gemini 2.5 Pro

Google

Per request$0.006250
Daily$20.83
Monthly$625.00
Annual$7500.00

Llama 4 Scout

Meta

Best Value
Per request$0.000250
Daily$0.83
Monthly$25.00
Annual$300.00

Llama 4 Scout saves you $600.00/month

That's $7200.00/year compared to Gemini 2.5 Pro at your current usage level of 100K calls/month.

96% cheaper
Choose Llama 4 Scout for cost optimization

Gemini 2.5 Pro pricing:
Input:$1.25/M tokens
Output:$10.00/M tokens
Llama 4 Scout pricing:
Input:$0.10/M tokens
Output:$0.30/M tokens
Winner
Gemini 2.5 Pro

Google

84

Composite Score

Llama 4 Scout

Meta

55

Composite Score

Signal-by-Signal Comparison
MetricGemini 2.5 ProLlama 4 ScoutWinner
Overall Score
84
55
Gemini 2.5 Pro
Rank#47#165
Gemini 2.5 Pro
Quality Rank#47#165
Gemini 2.5 Pro
Adoption Rank#47#165
Gemini 2.5 Pro
Parameters------
Context Window1049K1311K
Llama 4 Scout
Pricing$1.25/$10.00/M$0.10/$0.30/M--
Signal Scores
Capabilities
100
67
Gemini 2.5 Pro
Benchmarks
80
52
Gemini 2.5 Pro
Pricing
90
100
Llama 4 Scout
Context window size
96
97
Llama 4 Scout
Recency
59
46
Gemini 2.5 Pro
Output Capacity
80
70
Gemini 2.5 Pro
Benchmark Head-to-Head(13 benchmarks)
Gemini 2.5: 7Llama 4: 0
Gemini 2.5
Llama 4
Normalized 0-100%
MMLU
90.8%79.6%
MMLU-Pro
86%74.3%
GPQA Diamond
84%57.2%
MATH-500
95.2%50.3%
HumanEval
-74.1%
SWE-bench Verified
63.8%9.1%
AIME 2024
92%-
IFEval
87.2%-
BBH
88%76%
Arena Elo
1444-
LiveBench
75.6%-
HLE
35.2%-
BigCodeBench
29.7%16.9%
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.

Gemini 2.5 ProStrong Performer

Scores 84/100 (rank #47), placing it in the top 84% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Llama 4 ScoutCompetitive

Scores 55/100 (rank #165), placing it in the top 43% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 2.5 Pro has a 29-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Gemini 2.5 Pro when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose Llama 4 Scout when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Gemini 2.5 Pro
Input cost$1.25/M tokens
Output cost$10.00/M tokens
Cost per quality point$0.135
Est. monthly (1M tokens/day)$168.75
Llama 4 ScoutBest Value
Input cost$0.10/M tokens
Output cost$0.30/M tokens
Cost per quality point$0.007
Est. monthly (1M tokens/day)$6.00

Llama 4 Scout offers 96% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Llama 4 Scout vs $168.75/month with Gemini 2.5 Pro - a $162.75 monthly difference.

Latency & Speed
Gemini 2.5 ProFaster
Speed score0/100
Llama 4 Scout
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

Gemini 2.5 Pro

Customer support chatbot

Suitable for user-facing chat with competitive response times. Llama 4 Scout also offers lower per-token costs for high-volume support

Gemini 2.5 Pro

Long document analysis

Larger context window (1311K tokens) can process longer documents, contracts, and research papers in a single pass

Llama 4 Scout

Batch data extraction

Lower output pricing ($0.30/M) reduces costs when processing thousands of records daily

Llama 4 Scout

Creative writing & content

Higher overall composite score (84/100) correlates with better nuance, coherence, and style in long-form content

Gemini 2.5 Pro

Image understanding & OCR

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

Gemini 2.5 Pro
Which Should You Choose?
Our recommendation:
Gemini 2.5 Pro

Gemini 2.5 Pro clearly outperforms Llama 4 Scout with a significant 28.799999999999997-point lead. For most general use cases, Gemini 2.5 Pro is the stronger choice. However, Llama 4 Scout may still excel in niche scenarios.

Gemini 2.5 Pro
Recommended

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • 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 Meta

  • Choose for Cost - 96% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 2.5 ProLlama 4 Scout
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemini 2.5 Pro

Google

$14.25
estimated monthly cost

Llama 4 Scout

Meta

Best Value
$0.5400
estimated monthly cost

Llama 4 Scout saves you $13.71/month

That's 96% cheaper than Gemini 2.5 Pro 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
ParameterGemini 2.5 ProLlama 4 Scout
Context Window1.0M1.3M
Max Output Tokens65,53616,384
Open SourceNoYes
CreatedJun 17, 2025Apr 5, 2025
Last updated: 55m ago

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