Compare/Qwen3.6 Max Preview vs Jamba 1.5 Large

Qwen3.6 Max PreviewvsJamba 1.5 Large

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

Alibaba

Qwen3.6 Max Preview

Input
$1.3/M
Output
$7.8/M
Speed
59 tok/s
TTFT
3.25s
AI21 Labs

Jamba 1.5 Large

Input
$2/M
Output
$8/M
Speed
TTFT

Winner by Category

Cheaper
Qwen3.6 Max Preview
Faster (tok/s)
Qwen3.6 Max Preview
Lower Latency
Qwen3.6 Max Preview
Benchmarks (1-0)
Qwen3.6 Max Preview

Pricing Comparison

MetricQwen3.6 Max PreviewJamba 1.5 Large
Input ($/M tokens)$1.3$2
Output ($/M tokens)$7.8$8
Cost for 1M input + 100K output tokens:
Qwen3.6 Max Preview$2.08
Jamba 1.5 Large$2.80

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3.6 Max Preview
59 tok/s
Jamba 1.5 Large
Time to First Token (seconds) — lower is better
Qwen3.6 Max Preview
3.25s
Jamba 1.5 Large

Editorial Analysis

Verdict. Qwen3.6 Max Preview wins the overall benchmark matchup 1–0 across 1 overlapping categories, but raw benchmark score is only one input to the decision.

Pricing. Both models sit in the mid-tier bracket for output-token pricing. At 1.0× the per-million-token cost, Qwen3.6 Max Preview is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Qwen3.6 Max Preview makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. Qwen3.6 Max Preview is strongest on Intelligence Index (41.1). Jamba 1.5 Large leads on Intelligence Index (4.8).

Speed. Speed data is incomplete for this pair; benchmark and price should decide.

Provider. Alibaba and AI21 Labs sell to overlapping but distinct developer audiences: Alibaba tends to ship frontier reasoning models with premium positioning, while AI21 Labs often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.

Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Qwen3.6 Max Preview costs $156.00 ($1872/year); Jamba 1.5 Large costs $180.00 ($2160/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Qwen3.6 Max Preview ≈ $22.10/run, Jamba 1.5 Large ≈ $26.00/run. At agent/realtime scale (200M input / 100M output per million requests): Qwen3.6 Max Preview ≈ $1040/run, Jamba 1.5 Large ≈ $1200/run. Qwen3.6 Max Preview becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.

Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
41.14.8
Coding Index
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
Qwen3.6 Max Preview1 wins
0 winsJamba 1.5 Large

Frequently Asked Questions

Which is cheaper, Qwen3.6 Max Preview or Jamba 1.5 Large?

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 1.5 Large.

Which model performs better on benchmarks?

Qwen3.6 Max Preview wins 1 out of 12 benchmarks compared to 0 for Jamba 1.5 Large. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3.6 Max Preview generates tokens faster at 59 tok/s vs — tok/s. Qwen3.6 Max Preview also has lower time-to-first-token (3.25s vs —s).

When should I use Qwen3.6 Max Preview vs Jamba 1.5 Large?

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