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Kimi K2.7 Code vs Llama 3.2 11B Vision

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Kimi K2.7 Code and Llama 3.2 11B Vision.

Moonshot AI

Kimi K2.7 Code

MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...

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Meta

Llama 3.2 11B Vision

Meta's lightweight open weights vision model, optimized for mobile devices and local deployments. Capable of visual understanding, chart reading, and fast text generation.

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Technical Specifications

SpecificationKimi K2.7 CodeLlama 3.2 11B Vision
ProviderMoonshot AIMeta
Context Window262,144 tokens131,072 tokens
Agent SuitabilityN/A72/100
Time to First Token (TTFT)N/A150 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-06-122024-09-25

API Pricing Comparison

Input Price per Million Tokens

Kimi K2.7 Code

$0.74

Llama 3.2 11B Vision

$0.34

Output Price per Million Tokens

Kimi K2.7 Code

$3.50

Llama 3.2 11B Vision

$0.34

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8500.0%vs7300.0%
Kimi K2.7 Code
Llama 3.2 11B Vision
HumanEvalPython coding & logic synthesis
9320.0%vs7500.0%
Kimi K2.7 Code
Llama 3.2 11B Vision
MATHComplex mathematical problem solving
7650.0%vs5800.0%
Kimi K2.7 Code
Llama 3.2 11B Vision
GPQAGraduate-level expert reasoning
4600.0%vs3800.0%
Kimi K2.7 Code
Llama 3.2 11B Vision
HellaSwagCommonsense reasoning and inference
8600.0%vs8200.0%
Kimi K2.7 Code
Llama 3.2 11B Vision
MT-BenchMulti-turn conversation flow quality
900.0%vs790.0%
Kimi K2.7 Code
Llama 3.2 11B Vision

Kimi K2.7 Code Quirks & Gotchas

No developer gotchas reported.

Llama 3.2 11B Vision Quirks & Gotchas

  • โ–ธLightweight vision model for edge/on-device deployments
  • โ–ธLimited tool calling โ€” use Llama 4 for production agentic tasks