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Llama 3.3 70B Instruct vs Solar Pro 3

Detailed technical comparison between Llama 3.3 70B Instruct (Meta) and Solar Pro 3 (Upstage). 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

Llama 3.3 70B Instruct: 6 WinsvsSolar Pro 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

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 →
Upstageactive

Solar Pro 3

Solar Pro 3 is Upstage's powerful Mixture-of-Experts (MoE) language model. With 102B total parameters and 12B active parameters per forward pass, it delivers exceptional performance while maintaining computational efficiency. Optimized...

View Solar Pro 3 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationLlama 3.3 70B InstructSolar Pro 3
ProviderMetaUpstage
Context Window131,072 tokens🏆128,000 tokens
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.)Stable GA (est.)
API AvailableYesYes
Released Date2024-12-062026-01-27

API Pricing Comparison

Input Price per Million Tokens

Llama 3.3 70B Instruct

$0.13

Solar Pro 3

$0.15

Output Price per Million Tokens

Llama 3.3 70B Instruct

$0.40

Solar Pro 3

$0.60

💡 Cost Ratio: Llama 3.3 70B Instruct is 1.2x cheaper per input token than Solar Pro 3.

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.

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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
87.0%vs86.2%+0.8% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Solar Pro 3
HumanEvalPython coding & logic synthesis
86.2%vs85.4%+0.8% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Solar Pro 3
MATHComplex mathematical problem solving
67.4%vs66.6%+0.8% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Solar Pro 3
GPQAGraduate-level expert reasoning
48.8%vs48.0%+0.8% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Solar Pro 3
HellaSwagCommonsense reasoning and inference
88.0%vs87.2%+0.8% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Solar Pro 3
MT-BenchMulti-turn conversation flow quality
9.1%vs9.0%+0.1% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Solar Pro 3

Llama 3.3 70B Instruct Quirks & Gotchas

No developer gotchas reported.

Solar Pro 3 Quirks & Gotchas

No developer gotchas reported.

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