Qwen3.8 Omni Flash vs Schematron V2 Turbo

Price, context window & benchmark comparison

Qwen3.8 Omni Flash

Qwen (Alibaba)

$0.15 / $0.47

Input / Output · per 1M tokens

Schematron V2 Turbo

Inference Net

$0.03 / $0.15

Input / Output · per 1M tokens

Compare different models

Verdict: Schematron V2 Turbo is 3.8× cheaper than Qwen3.8 Omni Flash on a typical 3:1 input/output mix. Qwen3.8 Omni Flash has the larger context window (1M vs 128K).

	Qwen3.8 Omni Flash	Schematron V2 Turbo
Input price / 1M	$0.15	$0.03
Output price / 1M	$0.47	$0.15
Blended price (3:1)	$0.23	$0.06
Cached input / 1M	$0.016	$0.03
Context window	1M	128K
Max output	131K	8K
Intelligence index	—	—
Coding index	—	—
Providers	1	—
Best provider uptime (30m)	100.0%	—
Vision input	Yes	No
Reasoning	Yes	No
Tool calling	Yes	No
Released	2026-09-21	2026-09-12
Retirement	—	—

Cost calculator

Input tokens / requestOutput tokens / requestRequests / day

FAQ

Which is cheaper, Qwen3.8 Omni Flash or Schematron V2 Turbo?

Schematron V2 Turbo is 3.8× cheaper than Qwen3.8 Omni Flash on a typical 3:1 input/output mix.

Qwen3.8 Omni Flash vs Schematron V2 Turbo: which has a bigger context window?

Qwen3.8 Omni Flash: 1,000,000 tokens. Schematron V2 Turbo: 128,000 tokens.

How much would 1 million requests cost?

At 2,000 input + 500 output tokens per request: Qwen3.8 Omni Flash ≈ $535.00, Schematron V2 Turbo ≈ $135.00.

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