Claude Opus 4.6 vs Jamba 1.5 Large
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
Jamba 1.5 Large by AI21 Labs wins on 4 of 5 benchmarks against Claude Opus 4.6 by Anthropic, 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, Jamba 1.5 Large scores 256K on Context Length compared to Claude Opus 4.6's 200K.
Pricing Comparison
Claude Opus 4.6 costs $5.0/1M input tokens and $25.0/1M output tokens, while Jamba 1.5 Large costs $2.0/1M input and $8.0/1M output. Jamba 1.5 Large is the more affordable option for API usage.
Speed Comparison
Claude Opus 4.6 generates output at 68 tok/s compared to Jamba 1.5 Large's 19 tok/s, and the time to first token is 1680 ms for Claude Opus 4.6 versus 540 ms for Jamba 1.5 Large. Claude Opus 4.6 delivers faster throughput.
Verdict
For developers prioritizing speed, Claude Opus 4.6 has the edge. For those who value affordability, Jamba 1.5 Large is the stronger choice.
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Claude Opus 4.6 vs Jamba 1.5 Large — FAQ
Which is better, Claude Opus 4.6 or Jamba 1.5 Large?
Jamba 1.5 Large 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 Claude Opus 4.6 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 Claude Opus 4.6 cheaper than Jamba 1.5 Large?
Yes, Jamba 1.5 Large is cheaper. Claude Opus 4.6 costs $5.0/1M input and $25.0/1M output tokens. Jamba 1.5 Large costs $2.0/1M input and $8.0/1M output tokens.
Which is faster, Claude Opus 4.6 or Jamba 1.5 Large?
Claude Opus 4.6 is faster, generating output at 68 tok/s compared to 19 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the Claude Opus 4.6 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.