Context
256K
Max output
256K
Serving providers
2
Cheapest input
$2.00 /1M
Prices are on-demand list rates. Enterprise commitments (committed-use discounts, provisioned throughput, negotiated rates) can be materially lower.

Benchmarks

independent evaluations · source: Artificial Analysis
Headline indices
Individual benchmarks · click a row for effort variants
BenchmarkBest scoreEffortCost / task
CritPt0%default
EvalComputeProxy22.3default
GPQA Diamond39%default
Humanity's Last Exam4%default
IFBench35%default
LiveCodeBench18%default
Long-Context Reasoning18%default
MMLU-Pro58%default
Omniscience-54.9default
Omniscience Accuracy0.2default
Omniscience Non Hallucination0.0default
SciCode19%default
TerminalBench Hard2%default
τ²-bench13%default

Pricing by serving provider

standard tier · per 1M tokens · click a provider to expand
Serving providerInput /1MOutput /1MEndpoints
Ai21Cheapest$2.00$8.001
ComponentUnitStandardBatchCached
Text input/1M tok$2.00
Text output/1M tok$8.00
OpenRouterCheapest$2.00$8.001

Price history

input + output $/1M since we started tracking
Input Output
$0.000$2.00$4.00$6.00$8.00Jul 14Jun 22Jul 19$8.00$2.00

Cost calculator

estimate your monthly spend on this model
$1,040
estimated / month

Model IDs

copy the exact identifier for your platform
jamba-large-1.7ai21/jamba-large-1.7

Frequently asked questions

Jamba Large 1.7 pricing, context and availability

How much does Jamba Large 1.7 cost?

Jamba Large 1.7 costs $2.00 per 1M input tokens and $8.00 per 1M output tokens at its cheapest provider via Ai21.

What is the context window of Jamba Large 1.7?

Jamba Large 1.7 accepts up to 256K tokens of context and can return up to 256K output tokens.

Which providers serve Jamba Large 1.7?

Jamba Large 1.7 is available from 2 serving providers, each with its own pricing and model ID. Ai21 is currently the cheapest.

What can Jamba Large 1.7 do?

Jamba Large 1.7 supports tool use.

Other AI21 models

compare pricing across the AI21 lineup
Pricing verified against LiteLLM + OpenRouter + provider pages · refreshed daily

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