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Jamba Large 1.7 vs Qwen2.5 Coder 32B Instruct

Detailed technical comparison between Jamba Large 1.7 (AI21 Labs) and Qwen2.5 Coder 32B Instruct (Alibaba). 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: 5 WinsvsQwen2.5 Coder 32B 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

Qwen2.5 Coder 32B Instruct

$0.66 / 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†’
Alibabaactive

Qwen2.5 Coder 32B Instruct

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...

View Qwen2.5 Coder 32B Instruct Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationJamba Large 1.7Qwen2.5 Coder 32B Instruct
ProviderAI21 LabsAlibaba
Context Window256,000 tokens๐Ÿ†32,768 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 Date2025-08-082024-11-11

API Pricing Comparison

Input Price per Million Tokens

Jamba Large 1.7

$2.00

Qwen2.5 Coder 32B Instruct

$0.66

Output Price per Million Tokens

Jamba Large 1.7

$8.00

Qwen2.5 Coder 32B Instruct

$1.00

๐Ÿ’ก Cost Ratio: Qwen2.5 Coder 32B Instruct is 3.0x 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%vs81.2%+6.6% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Qwen2.5 Coder 32B Instruct
HumanEvalPython coding & logic synthesis
87.0%vs91.5%+4.5% Qwen2.5 Coder 32B Instruct
Jamba Large 1.7
Qwen2.5 Coder 32B Instruct ๐Ÿ†
MATHComplex mathematical problem solving
68.2%vs68.0%+0.2% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Qwen2.5 Coder 32B Instruct
GPQAGraduate-level expert reasoning
49.6%vs40.5%+9.1% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Qwen2.5 Coder 32B Instruct
HellaSwagCommonsense reasoning and inference
85.4%vs84.0%+1.4% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Qwen2.5 Coder 32B Instruct
MT-BenchMulti-turn conversation flow quality
9.1%vs8.8%+0.3% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Qwen2.5 Coder 32B Instruct

Jamba Large 1.7 Quirks & Gotchas

No developer gotchas reported.

Qwen2.5 Coder 32B Instruct Quirks & Gotchas

No developer gotchas reported.

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