Compare/Jamba 1.6 Large vs Qwen3.6 Max Preview

Jamba 1.6 LargevsQwen3.6 Max Preview

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

AI21 Labs

Jamba 1.6 Large

Input
$2/M
Output
$8/M
Speed
56 tok/s
TTFT
0.89s
Alibaba

Qwen3.6 Max Preview

Input
$1.3/M
Output
$7.8/M
Speed
36 tok/s
TTFT
2.40s

Winner by Category

Cheaper
Qwen3.6 Max Preview
Faster (tok/s)
Jamba 1.6 Large
Lower Latency
Jamba 1.6 Large
Benchmarks (3-7)
Qwen3.6 Max Preview

Pricing Comparison

MetricJamba 1.6 LargeQwen3.6 Max Preview
Input ($/M tokens)$2$1.3
Output ($/M tokens)$8$7.8
Cost for 1M input + 100K output tokens:
Jamba 1.6 Large$2.80
Qwen3.6 Max Preview$2.08

Speed Comparison

Output Speed (tokens/s) — higher is better
Jamba 1.6 Large
56 tok/s
Qwen3.6 Max Preview
36 tok/s
Time to First Token (seconds) — lower is better
Jamba 1.6 Large
0.89s
Qwen3.6 Max Preview
2.40s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
10.651.8
Coding Index
44.9
Math Index
GPQA Diamond
38.7%88.8%
MMLU-Pro
56.5%
LiveCodeBench
17.2%
AIME 2025
MATH-500
58.0%
Humanity's Last Exam
4.0%28.9%
SciCode
18.4%46.9%
IFBench
76.6%
TerminalBench
43.9%
Jamba 1.6 Large3 wins
7 winsQwen3.6 Max Preview

Frequently Asked Questions

Which is cheaper, Jamba 1.6 Large or Qwen3.6 Max Preview?

Qwen3.6 Max Preview is cheaper overall. Its blended price (3:1 input/output ratio) is $2.92/M tokens vs $3.50/M for Jamba 1.6 Large.

Which model performs better on benchmarks?

Qwen3.6 Max Preview wins 7 out of 12 benchmarks compared to 3 for Jamba 1.6 Large. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Jamba 1.6 Large generates tokens faster at 56 tok/s vs 36 tok/s. Jamba 1.6 Large also has lower time-to-first-token (0.89s vs 2.40s).

When should I use Jamba 1.6 Large vs Qwen3.6 Max Preview?

Choose based on your priorities: Qwen3.6 Max Preview for lower cost, Qwen3.6 Max Preview for stronger benchmark performance, and Jamba 1.6 Large for faster generation. For latency-sensitive apps, check the TTFT comparison above.