โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Llama 3.3 70B Instruct vs Reka Flash 3

Detailed technical comparison between Llama 3.3 70B Instruct (Meta) and Reka Flash 3 (Reka 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 WinsvsReka Flash 3: 0 Wins
Context Leader

Llama 3.3 70B Instruct

131,072 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Reka Flash 3

$0.10 / MTok
Metaactive

Llama 3.3 70B Instruct

Meta's state-of-the-art open weights model, providing enterprise-grade reasoning and logic. Exceptionally powerful for self-hosted customer support, text generation, and tooling workflows.

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

Reka Flash 3

Reka Flash 3 is a general-purpose, instruction-tuned large language model with 21 billion parameters, developed by Reka. It excels at general chat, coding tasks, instruction-following, and function calling. Featuring a...

View Reka Flash 3 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationLlama 3.3 70B InstructReka Flash 3
ProviderMetaReka AI
Context Window131,072 tokens๐Ÿ†65,536 tokens
Agent Suitability83/100 (est.)Not yet benchmarked
Time to First Token (TTFT)280 ms (est.)No public TTFT data
Deployment Modelself hostablemanaged api
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2024-12-062025-03-12

API Pricing Comparison

Input Price per Million Tokens

Llama 3.3 70B Instruct

$0.13

Reka Flash 3

$0.10

Output Price per Million Tokens

Llama 3.3 70B Instruct

$0.40

Reka Flash 3

$0.20

๐Ÿ’ก Cost Ratio: Reka Flash 3 is 1.3x cheaper per input token than Llama 3.3 70B Instruct.

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
86.2%vs75.6%+10.6% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Reka Flash 3
HumanEvalPython coding & logic synthesis
88.0%vs68.4%+19.6% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Reka Flash 3
MATHComplex mathematical problem solving
75.0%vs41.6%+33.4% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Reka Flash 3
GPQAGraduate-level expert reasoning
52.0%vs29.0%+23.0% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Reka Flash 3
HellaSwagCommonsense reasoning and inference
88.5%vs76.2%+12.3% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Reka Flash 3
MT-BenchMulti-turn conversation flow quality
8.8%vs7.9%+0.9% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Reka Flash 3

Llama 3.3 70B Instruct Quirks & Gotchas

  • โ–ธStable, well-documented self-hosted option with strong community support
  • โ–ธOutperformed by Llama 4 Maverick for agentic tool-calling workflows

Reka Flash 3 Quirks & Gotchas

No developer gotchas reported.

Explore Other Popular Comparisons