vs
6:0
overall capability wins (0 ties across 6 scored). Qwen3.8 Flash Next leads overall.
- Reasoning4:0
- Specs2:0
Verdict
Qwen3.8 Flash Next edges reasoning & knowledge; Qwen3.8 Flash Next offers ~4.0x larger context (262K vs 66K); Qwen3.8 Flash Next allows ~8.0x more max output (131K vs 16K).
- Qwen3.8 Flash Next edges reasoning & knowledge
- Qwen3.8 Flash Next offers ~4.0x larger context (262K vs 66K)
- Qwen3.8 Flash Next allows ~8.0x more max output (131K vs 16K)
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Qwen3.8 Flash Next
- $0.27
- Qwen3-Omni-30B-A3B-Instruct
- -
Price per 1M tokens
Full comparison
Organization
Alibaba
Alibaba
Family
Qwen
Qwen
License
Qwen Community License 1.0
Apache 2.0
Open weights
Yes
Yes
Release
Aug 26, 2026
Sep 22, 2025
Knowledge cutoff
-
-
API / provider
Alibaba (QwenCloud)
No primary API price listed
Modalities
text, image, video → text
text, image, audio, video → text, audio
Specs
Context window
262K
66K
Max output
131K
16K
Parameters
—
30B (3B act.)
Pricing
Input $/1M
$0.15
—
Output $/1M
$0.47
—
Blended $/1M (3∶1)
$0.23
-
Speed
tok/s
77.3
-
TTFT (s)
2.79
-
Reasoning
MMLU-Pro
—
—
GPQA Diamond
92.3
62.0
Humanity's Last Exam
38.0
4.6
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
24.5
14.3
AA-LCR v1.1
79.7
—
CritPt
11.1
—
MMMU-Pro
79.8
55.5
IFBench
—
31.2
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
86.1
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
50.6
—
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
1,635
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
—
| Metric | Qwen3.8 Flash Next | Qwen3-Omni-30B-A3B-Instruct | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Alibaba | Alibaba | — |
| Family | Qwen | Qwen | — |
| License | Qwen Community License 1.0 | Apache 2.0 | — |
| Open weights | Yes | Yes | — |
| Release | Aug 26, 2026 | Sep 22, 2025 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Alibaba (QwenCloud) | No primary API price listed | — |
| Modalities | text, image, video → text | text, image, audio, video → text, audio | — |
| Specs | |||
| Context window | 262K | 66K | A +197K |
| Max output | 131K | 16K | A +115K |
| Parameters | — | 30B (3B act.) | — |
| Pricing | |||
| Input $/1M | $0.15 | — | — |
| Output $/1M | $0.47 | — | — |
| Blended $/1M (3∶1) | $0.23 | - | — |
| Speed | |||
| tok/s | 77.3 | - | — |
| TTFT (s) | 2.79 | - | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 92.3 | 62.0 | A +30.3 pts |
| Humanity's Last Exam | 38.0 | 4.6 | A +33.4 pts |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 24.5 | 14.3 | A +10.2 pts |
| AA-LCR v1.1 | 79.7 | — | — |
| CritPt | 11.1 | — | — |
| MMMU-Pro | 79.8 | 55.5 | A +24.3 pts |
| IFBench | — | 31.2 | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | 86.1 | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 50.6 | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | 1,635 | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | — | — |
Qwen3.8 Flash Next
- Context
- 262K / 131K out
- Parameters
- —
- Price
- $0.15 / $0.47
- Speed
- 77.3 tok/s · 2.79s TTFT
- Modalities
- text, image, video → text
- License
- Qwen Community License 1.0
Open-weight sparse-MoE Flash tier (6B active) previewing the Qwen4 architecture, released Aug 26, 2026 — 262K native context extensible to ~1M with YaRN, tuned for cost efficiency at $0.15/$0.47 per 1M (cache-hit $0.016). Reported total parameter count varies by source (~125-180B). Benchmark figures are Alibaba's self-reported launch numbers (SWE-bench Pro 62.5, HLE 35.9); Artificial Analysis places it at 56 on its Intelligence Index.
Qwen3-Omni-30B-A3B-Instruct
- Context
- 66K / 16K out
- Parameters
- 30B (3B act.)
- Price
- —
- Speed
- —
- Modalities
- text, image, audio, video → text, audio
- License
- Apache 2.0
Alibaba's first natively end-to-end omni-modal model (text/image/audio/video in; text and streamed speech out) via a Thinker-Talker MoE architecture; DashScope hosting pricing not publicly listed.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.