GPT-5.2 vs Jamba 1.5 Large
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
GPT-5.2 by OpenAI wins on 4 of 5 benchmarks against Jamba 1.5 Large by AI21 Labs, which leads on 1. This head-to-head comparison covers coding, math, reasoning, speed, and pricing metrics from the AI Value Index.
Category-by-Category Breakdown
Context: In context, GPT-5.2 scores 400K on Context Length compared to Jamba 1.5 Large's 256K.
Pricing Comparison
GPT-5.2 costs $1.8/1M input tokens and $14.0/1M output tokens, while Jamba 1.5 Large costs $2.0/1M input and $8.0/1M output. GPT-5.2 is the more affordable option for API usage.
Speed Comparison
GPT-5.2 generates output at 90 tok/s compared to Jamba 1.5 Large's 19 tok/s, and the time to first token is 380 ms for GPT-5.2 versus 540 ms for Jamba 1.5 Large. GPT-5.2 delivers faster throughput.
Verdict
GPT-5.2 leads across the board in affordability, speed, making it the stronger overall choice in this comparison.
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GPT-5.2 vs Jamba 1.5 Large — FAQ
Which is better, GPT-5.2 or Jamba 1.5 Large?
GPT-5.2 wins on more benchmarks overall (4 vs 1). However, the best choice depends on your specific needs — each model excels in different areas.
How does GPT-5.2 compare to Jamba 1.5 Large for coding?
SWE-bench Verified data is not available for both models. Check the detailed comparison charts above for other coding-related metrics.
Is GPT-5.2 cheaper than Jamba 1.5 Large?
Yes, GPT-5.2 is cheaper. GPT-5.2 costs $1.8/1M input and $14.0/1M output tokens. Jamba 1.5 Large costs $2.0/1M input and $8.0/1M output tokens.
Which is faster, GPT-5.2 or Jamba 1.5 Large?
GPT-5.2 is faster, generating output at 90 tok/s compared to 19 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the GPT-5.2 vs Jamba 1.5 Large comparison cover?
This comparison covers 5 benchmarks including Output Speed, Time to First Token, Input Cost, Output Cost, Context Length. Metrics span general intelligence, coding, math, reasoning, speed, and cost categories.