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Llama 3.3 70B Instruct vs Kimi K3

Detailed technical comparison between Llama 3.3 70B Instruct (Meta) and Kimi K3 (Moonshot AI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

Llama 3.3 70B Instruct: 6 WinsvsKimi K3: 0 Wins
Context Leader

Kimi K3

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Llama 3.3 70B Instruct

$0.13 / MTok
Metaactive

Llama 3.3 70B Instruct

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

View Llama 3.3 70B Instruct Full Specs โ†’
Moonshot AIactive

Kimi K3

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...

View Kimi K3 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationLlama 3.3 70B InstructKimi K3
ProviderMetaMoonshot AI
Context Window131,072 tokens1,048,576 tokens๐Ÿ†
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelself hostablemanaged api
Production StabilityStable GA (est.)Beta Access (est.)
API AvailableYesYes
Released Date2024-12-062026-07-16

API Pricing Comparison

Input Price per Million Tokens

Llama 3.3 70B Instruct

$0.13

Kimi K3

$3.00

Output Price per Million Tokens

Llama 3.3 70B Instruct

$0.40

Kimi K3

$15.00

๐Ÿ’ก Cost Ratio: Llama 3.3 70B Instruct is 23.1x cheaper per input token than Kimi K3.

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 (0โ€“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
87.0%vs78.6%+8.4% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Kimi K3
HumanEvalPython coding & logic synthesis
86.2%vs76.8%+9.4% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Kimi K3
MATHComplex mathematical problem solving
67.4%vs54.0%+13.4% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Kimi K3
GPQAGraduate-level expert reasoning
48.8%vs39.4%+9.4% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Kimi K3
HellaSwagCommonsense reasoning and inference
88.0%vs81.6%+6.4% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Kimi K3
MT-BenchMulti-turn conversation flow quality
9.1%vs8.4%+0.6% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Kimi K3

Llama 3.3 70B Instruct Quirks & Gotchas

No developer gotchas reported.

Kimi K3 Quirks & Gotchas

No developer gotchas reported.

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