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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.

โšก Executive Summary & Verdict

Comparison Snapshot

Jamba Large 1.7: 2 WinsvsLlama 3.3 70B Instruct: 4 Wins
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 โ†’
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†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationJamba Large 1.7Llama 3.3 70B Instruct
ProviderAI21 LabsMeta
Context Window256,000 tokens๐Ÿ†131,072 tokens
Agent SuitabilityNot yet benchmarked83/100 (est.)
Time to First Token (TTFT)No public TTFT data280 ms (est.)
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

๐Ÿ’ก Cost Ratio: Llama 3.3 70B Instruct is 15.4x cheaper per input token than Jamba Large 1.7.

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
87.8%vs86.2%+1.6% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Llama 3.3 70B Instruct
HumanEvalPython coding & logic synthesis
87.0%vs88.0%+1.0% Llama 3.3 70B Instruct
Jamba Large 1.7
Llama 3.3 70B Instruct ๐Ÿ†
MATHComplex mathematical problem solving
68.2%vs75.0%+6.8% Llama 3.3 70B Instruct
Jamba Large 1.7
Llama 3.3 70B Instruct ๐Ÿ†
GPQAGraduate-level expert reasoning
49.6%vs52.0%+2.4% Llama 3.3 70B Instruct
Jamba Large 1.7
Llama 3.3 70B Instruct ๐Ÿ†
HellaSwagCommonsense reasoning and inference
85.4%vs88.5%+3.1% Llama 3.3 70B Instruct
Jamba Large 1.7
Llama 3.3 70B Instruct ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
9.1%vs8.8%+0.3% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Llama 3.3 70B Instruct

Jamba Large 1.7 Quirks & Gotchas

No developer gotchas reported.

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

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