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Jamba Large 1.7 vs Llama 3.3 70B Instruct

Detailed technical comparison between Jamba Large 1.7 (AI21 Labs) and Llama 3.3 70B Instruct (Meta). 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

Jamba Large 1.7: 5 WinsvsLlama 3.3 70B Instruct: 1 Win
Context Leader

Jamba Large 1.7

256,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Llama 3.3 70B Instruct

$0.13 / MTok
AI21 Labsactive

Jamba Large 1.7

Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context...

View Jamba Large 1.7 Full Specs →
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 →

Technical Specifications

🏆 = Superior Spec
SpecificationJamba Large 1.7Llama 3.3 70B Instruct
ProviderAI21 LabsMeta
Context Window256,000 tokens🏆131,072 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2025-08-082024-12-06

API Pricing Comparison

Input Price per Million Tokens

Jamba Large 1.7

$2.00

Llama 3.3 70B Instruct

$0.13

Output Price per Million Tokens

Jamba Large 1.7

$8.00

Llama 3.3 70B Instruct

$0.40

💡 Cost Ratio: Llama 3.3 70B Instruct is 15.4x cheaper per input token than Jamba Large 1.7.

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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
87.8%vs87.0%+0.8% Jamba Large 1.7
Jamba Large 1.7 🏆
Llama 3.3 70B Instruct
HumanEvalPython coding & logic synthesis
87.0%vs86.2%+0.8% Jamba Large 1.7
Jamba Large 1.7 🏆
Llama 3.3 70B Instruct
MATHComplex mathematical problem solving
68.2%vs67.4%+0.8% Jamba Large 1.7
Jamba Large 1.7 🏆
Llama 3.3 70B Instruct
GPQAGraduate-level expert reasoning
49.6%vs48.8%+0.8% Jamba Large 1.7
Jamba Large 1.7 🏆
Llama 3.3 70B Instruct
HellaSwagCommonsense reasoning and inference
85.4%vs88.0%+2.6% Llama 3.3 70B Instruct
Jamba Large 1.7
Llama 3.3 70B Instruct 🏆
MT-BenchMulti-turn conversation flow quality
9.1%vs9.1%+0.1% Jamba Large 1.7
Jamba Large 1.7 🏆
Llama 3.3 70B Instruct

Jamba Large 1.7 Quirks & Gotchas

No developer gotchas reported.

Llama 3.3 70B Instruct Quirks & Gotchas

No developer gotchas reported.

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