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GPT-5.6 Terra vs Llama 4 Scout

GPT-5.6 Terra

OpenAI

89#36
vs
Llama 4 Scout

Meta

60#219
Signal-by-Signal Comparison
SignalGPT-5.6 TerraDeltaLlama 4 Scout
Capabilities
100
+33
67
Benchmarks
88
+29
59
Pricing
88
-12
100
Context window size
96
-1
97
Recency
100
+62
38
Output Capacity
82
+14
67
Overall Result
4 wins
of 6
2 wins
GPT-5.6 Terra wins 4 of 6 signals

Score History

Score History (30 data points)
GPT-5.6 TerraLlama 4 Scout
GPT-5.6 Terra

89

current score

Leader

GPT-5.6 Terra

right now

Llama 4 Scout

60.2

current score

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

GPT-5.6 Terra

OpenAI

Per request$0.008000
Daily$26.67
Monthly$800.00
Annual$9600.00

Llama 4 Scout

Meta

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

Llama 4 Scout saves you $775.00/month

That's $9300.00/year compared to GPT-5.6 Terra at your current usage level of 100K calls/month.

97% cheaper
Choose Llama 4 Scout for cost optimization

GPT-5.6 Terra pricing:
Input:$2.00/M tokens
Output:$12.00/M tokens
Llama 4 Scout pricing:
Input:$0.10/M tokens
Output:$0.30/M tokens
Winner
GPT-5.6 Terra

OpenAI

89

Composite Score

Llama 4 Scout

Meta

60

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.6 TerraLlama 4 ScoutWinner
Overall Score
89
60
GPT-5.6 Terra
Rank#36#219
GPT-5.6 Terra
Quality Rank#36#219
GPT-5.6 Terra
Adoption Rank#36#219
GPT-5.6 Terra
Parameters------
Context Window1050K1311K
Llama 4 Scout
Pricing$2.00/$12.00/M$0.10/$0.30/M--
Signal Scores
Capabilities
100
67
GPT-5.6 Terra
Benchmarks
88
59
GPT-5.6 Terra
Pricing
88
100
Llama 4 Scout
Context window size
96
97
Llama 4 Scout
Recency
100
38
GPT-5.6 Terra
Output Capacity
82
67
GPT-5.6 Terra
Benchmark Head-to-Head(12 benchmarks)
GPT-5.6 Terra: 6Llama 4: 0
GPT-5.6 Terra
Llama 4
Normalized 0-100%
MMLU
93%79.6%
MMLU-Pro
84.5%74.3%
GPQA Diamond
85%57.2%
MATH-500
92.5%50.3%
HumanEval
96.5%74.1%
SWE-bench Verified
75%-
IFEval
92%-
BBH
90.5%76%
Arena Elo
1465-
LiveBench
76%-
HLE
35%-
BigCodeBench
-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.

GPT-5.6 TerraElite Tier

Scores 89/100 (rank #36), placing it in the top 88% of all 290 models tracked.

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

Scores 60/100 (rank #219), placing it in the top 25% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.6 Terra 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 GPT-5.6 Terra 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
GPT-5.6 Terra
Input cost$2.00/M tokens
Output cost$12.00/M tokens
Cost per quality point$0.157
Est. monthly (1M tokens/day)$210.00
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 97% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Llama 4 Scout vs $210.00/month with GPT-5.6 Terra - a $204.00 monthly difference.

Latency & Speed
GPT-5.6 TerraFaster
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

GPT-5.6 Terra

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

GPT-5.6 Terra

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 (89/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.6 Terra

Image understanding & OCR

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

GPT-5.6 Terra
Which Should You Choose?
Our recommendation:
GPT-5.6 Terra

GPT-5.6 Terra clearly outperforms Llama 4 Scout with a significant 28.799999999999997-point lead. For most general use cases, GPT-5.6 Terra is the stronger choice. However, Llama 4 Scout may still excel in niche scenarios.

GPT-5.6 Terra
Recommended

by OpenAI

  • 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 - 97% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.6 TerraLlama 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)

GPT-5.6 Terra

OpenAI

$18.00
estimated monthly cost

Llama 4 Scout

Meta

Best Value
$0.5400
estimated monthly cost

Llama 4 Scout saves you $17.46/month

That's 97% cheaper than GPT-5.6 Terra 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
ParameterGPT-5.6 TerraLlama 4 Scout
Context Window1.1M1.3M
Max Output Tokens128,00016,384
Open SourceNoYes
CreatedJul 9, 2026Apr 5, 2025
Last updated: 48m ago

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GPT-5.6 Terra vs Llama 4 Scout (2026) | LM Market Cap