xAI vs AI21 · synced 2026-08-11

grok-4.20-0309-reasoning vs jamba-mini-1.7

jamba-mini-1.7 is 10.0× cheaper on input than grok-4.20-0309-reasoning.

grok-4.20-0309-reasoning jamba-mini-1.7
Input / 1M $2.00 $0.20
Cached input / 1M $0.20
Output / 1M $6.00 $0.40
Context window 2M 256K
Max output 2M 256K
Provider xAI AI21
Vision Yes No
Tool calling Yes No
Token count estimated estimated

Capability for the money

Independent measurement · Artificial Analysis · read 2026-08-11

Not the same tier: grok-4.20-0309-reasoning leads jamba-mini-1.7 by 51.5 points on following instructions (IFBench), for 12.0× the price.

  1. Following instructions

    extraction, classification, sticking to a format

    IFBench
    grok-4.20-0309-reasoning82.9%
    jamba-mini-1.731.4%

    grok-4.20-0309-reasoning +51.5

  2. Tool use

    multi-step agent work against real tools

    τ²-bench
    grok-4.20-0309-reasoning96.5%
    jamba-mini-1.712.6%

    grok-4.20-0309-reasoning +83.9

  3. Hard reasoning

    graduate-level science and multi-step analysis

    GPQA Diamond
    grok-4.20-0309-reasoning88.5%
    jamba-mini-1.732.2%

    grok-4.20-0309-reasoning +56.3

Averaged over the benchmarks both models sat, jamba-mini-1.7 returns 101.6 points of pass rate per dollar of blended price against 29.8 — the ratio that decides whether the dearer model earns its rate.

Each figure is a pass rate: the share of that test set the model answered correctly, measured by a third party rather than self-reported by the lab. Rows are different tests of different difficulty, so compare a model against the other model, not one row against the next. No published coding score for one of these models, so that lens is omitted. And a benchmark is not your workload — it narrows the shortlist, it does not pick for you.

Which to pick

List price is not production cost. Output length, cache hit rate, retries and task quality move the real number more than the headline rate does — price your own prompt on the token ledger before deciding.

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