As of August 25, 2026, Nova Pro is 60% cheaper per million tokens than Jamba 1.5 Large. Jamba 1.5 Large is $2.00 / $8.00 per million input/output tokens versus Nova Pro at $0.80 / $3.20. Source: https://anotherwrapper.com/tools/llm-pricing
Source: AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing)
Jamba 1.5 Large
AI21 Labs
Input
$2.00
Output
$8.00
Nova Pro
Amazon
Input
$0.80
Output
$3.20
Token pricing, specs, and benchmarks side by side
Each bar is share of the current leader on that eval. Click a row to open the board.
MATH. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.
Jamba 1.5 LargeNova ProVerdict
Nova Pro offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.
As of August 25, 2026, Nova Pro is 60% cheaper on blended LLM API pricing. Nova Pro costs $0.80 per million input tokens and $3.20 per million output tokens ($4.00 blended 1M-in + 1M-out). Jamba 1.5 Large costs $2.00 / $8.00 per million tokens ($10.00 blended). Sources: https://anotherwrapper.com/tools/llm-pricing and https://anotherwrapper.com/tools/llm-pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
Jamba 1.5 Large AI21 Labs API pricing is $2.00 input and $8.00 output per million tokens via AI21 Labs. Nova Pro Amazon API pricing is $0.80 input and $3.20 output per million tokens via Amazon. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Nova Pro leads on HumanEval: Jamba 1.5 Large at 71.3% vs Nova Pro at 89%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.
Jamba 1.5 Large supports a 256K token context window, while Nova Pro supports 300K tokens. Nova Pro offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Nova Pro leads on 5 of 6 shared benchmarks versus Jamba 1.5 Large's 1 wins. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Both Jamba 1.5 Large and Nova Pro are production API models. For cost-sensitive production traffic, Nova Pro has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Yes. Call Jamba 1.5 Large through AI21 Labs and Nova Pro through Amazon with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
List rates are the latest published AI21 Labs API pricing and Amazon API pricing, quoted per million tokens. Official rate sheets: https://anotherwrapper.com/tools/llm-pricing and https://anotherwrapper.com/tools/llm-pricing. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
Jamba 1.5 Large supports up to 256K output tokens per request, while Nova Pro supports up to 300K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Jamba 1.5 Large runs at approximately 42 tokens/second while Nova Pro runs at 100 tokens/second. Nova Pro is faster in raw throughput. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Jamba 1.5 Large or Nova Pro from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
This comparison covers API pricing, context window, throughput, and benchmark scores. Jamba 1.5 Large costs $2.00/M input and $8.00/M output. Nova Pro costs $0.80/M input and $3.20/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
The index
280 models across 33 providers. Search or jump to a lab — every model page stays linked here.
Next step
Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.
