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GPT-5.6 Sol vs Llama 4 Scout

Detailed technical comparison between GPT-5.6 Sol (OpenAI) and Llama 4 Scout (Meta). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

GPT-5.6 Sol: 6 WinsvsLlama 4 Scout: 0 Wins
Context Leader

Llama 4 Scout

1,310,720 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Llama 4 Scout

$0.10 / MTok
OpenAIactive

GPT-5.6 Sol

GPT-5.6 Sol is an advanced artificial intelligence model engineered by OpenAI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, GPT-5.6 Sol represents a key architectural iteration in the OpenAI model family. First released in 2026-07-09, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,050,000 tokens (approximately 1,400 words), GPT-5.6 Sol processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View GPT-5.6 Sol Full Specs →
Metaactive

Llama 4 Scout

Llama 4 Scout is an advanced artificial intelligence model engineered by Meta. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Llama 4 Scout represents a key architectural iteration in the Meta model family. First released in 2025-04-05, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,310,720 tokens (approximately 1,748 words), Llama 4 Scout processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View Llama 4 Scout Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationGPT-5.6 SolLlama 4 Scout
ProviderOpenAIMeta
Context Window1,050,000 tokens1,310,720 tokens🏆
Agent SuitabilityNot yet benchmarked82/100 (est.)
Time to First Token (TTFT)No public TTFT data350 ms (est.)
Deployment Modelmanaged apiself hostable
Production StabilityBeta Access (est.)Beta Access (est.)
API AvailableYesYes
Released Date2026-07-092025-04-05

API Pricing Comparison

Input Price per Million Tokens

GPT-5.6 Sol

$2.00

Llama 4 Scout

$0.10

Output Price per Million Tokens

GPT-5.6 Sol

$10.00

Llama 4 Scout

$0.30

💡 Cost Ratio: Llama 4 Scout is 20.0x cheaper per input token than GPT-5.6 Sol.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
96.8%vs87.2%+9.6% GPT-5.6 Sol
GPT-5.6 Sol 🏆
Llama 4 Scout
HumanEvalPython coding & logic synthesis
96.2%vs89.5%+6.7% GPT-5.6 Sol
GPT-5.6 Sol 🏆
Llama 4 Scout
MATHComplex mathematical problem solving
95.4%vs81.0%+14.4% GPT-5.6 Sol
GPT-5.6 Sol 🏆
Llama 4 Scout
GPQAGraduate-level expert reasoning
87.9%vs66.8%+21.1% GPT-5.6 Sol
GPT-5.6 Sol 🏆
Llama 4 Scout
HellaSwagCommonsense reasoning and inference
99.2%vs94.5%+4.7% GPT-5.6 Sol
GPT-5.6 Sol 🏆
Llama 4 Scout
MT-BenchMulti-turn conversation flow quality
9.8%vs9.1%+0.7% GPT-5.6 Sol
GPT-5.6 Sol 🏆
Llama 4 Scout

GPT-5.6 Sol Quirks & Gotchas

No developer gotchas reported.

Llama 4 Scout Quirks & Gotchas

  • ▸10M context causes significant VRAM pressure — recommend 4-bit quantization
  • ▸Primarily designed for RAG, not agentic tool calling

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