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Llama 3.3 70B Instruct vs Palmyra X5

Detailed technical comparison between Llama 3.3 70B Instruct (Meta) and Palmyra X5 (Writer). 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 WinsvsPalmyra X5: 0 Wins
Context Leader

Palmyra X5

1,040,000 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 →
Writeractive

Palmyra X5

Palmyra X5 is Writer's most advanced model, purpose-built for building and scaling AI agents across the enterprise. It delivers industry-leading speed and efficiency on context windows up to 1 million...

View Palmyra X5 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationLlama 3.3 70B InstructPalmyra X5
ProviderMetaWriter
Context Window131,072 tokens1,040,000 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.)Beta Access (est.)
API AvailableYesYes
Released Date2024-12-062026-01-21

API Pricing Comparison

Input Price per Million Tokens

Llama 3.3 70B Instruct

$0.13

Palmyra X5

$0.60

Output Price per Million Tokens

Llama 3.3 70B Instruct

$0.40

Palmyra X5

$6.00

💡 Cost Ratio: Llama 3.3 70B Instruct is 4.6x cheaper per input token than Palmyra X5.

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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%vs80.0%+7.0% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Palmyra X5
HumanEvalPython coding & logic synthesis
86.2%vs78.2%+8.0% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Palmyra X5
MATHComplex mathematical problem solving
67.4%vs55.4%+12.0% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Palmyra X5
GPQAGraduate-level expert reasoning
48.8%vs40.8%+8.0% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Palmyra X5
HellaSwagCommonsense reasoning and inference
88.0%vs83.0%+5.0% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Palmyra X5
MT-BenchMulti-turn conversation flow quality
9.1%vs8.6%+0.5% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Palmyra X5

Llama 3.3 70B Instruct Quirks & Gotchas

No developer gotchas reported.

Palmyra X5 Quirks & Gotchas

No developer gotchas reported.

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