jamba-large-1.6 vs zai-glm-4.6
jamba-large-1.6 and zai-glm-4.6 are priced within 15% of each other on input.
| jamba-large-1.6 | zai-glm-4.6 | |
|---|---|---|
| Input / 1M | $2.00 | $2.25 |
| Cached input / 1M | — | — |
| Output / 1M | $8.00 | $2.75 |
| Context window | 256K | 128K |
| Max output | 256K | 128K |
| Provider | AI21 | Cerebras |
| Vision | No | No |
| Tool calling | No | Yes |
| Token count | estimated | estimated |
Capability for the money
Independent measurement · Artificial Analysis · read 2026-08-11zai-glm-4.6 is 1.5× cheaper than jamba-large-1.6 and scores higher on every benchmark they share — there is no case for paying more here.
Coding
writing and fixing code
LiveCodeBenchzai-glm-4.6 +38.9
Hard reasoning
graduate-level science and multi-step analysis
GPQA Diamondzai-glm-4.6 +24.5
Averaged over the benchmarks both models sat, zai-glm-4.6 returns 25.1 points of pass rate per dollar of blended price against 8.0 — 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 following instructions or tool use score for one of these models, so those lenses are omitted. And a benchmark is not your workload — it narrows the shortlist, it does not pick for you.
Which to pick
- Cheaper input: jamba-large-1.6
- Cheaper output: zai-glm-4.6
- Larger context: jamba-large-1.6
- Better at coding: zai-glm-4.6 (17.2% vs 56.1% on LiveCodeBench)
- Better at hard reasoning: zai-glm-4.6 (38.7% vs 63.2% on GPQA Diamond)
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.
Related comparisons
jamba-large-1.6 detail · zai-glm-4.6 detail · All AI21 pricing · All comparisons