vs
3:0
overall capability wins (0 ties across 3 scored). Qwen3.8 Max 0902 leads overall.
- Specs3:0
Verdict
Qwen3.8 Max 0902 offers ~15.3x larger context (1M vs 66K); Qwen3.8 Max 0902 allows ~8.0x more max output (131K vs 16K); Qwen3-Omni-30B-A3B-Instruct ships open weights (Apache 2.0).
- Qwen3.8 Max 0902 offers ~15.3x larger context (1M vs 66K)
- Qwen3.8 Max 0902 allows ~8.0x more max output (131K vs 16K)
- Qwen3-Omni-30B-A3B-Instruct ships open weights (Apache 2.0)
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Qwen3.8 Max 0902
- $3.50
- Qwen3-Omni-30B-A3B-Instruct
- -
Price per 1M tokens
Full comparison
Organization
Alibaba
Alibaba
Family
Qwen
Qwen
License
Proprietary
Apache 2.0
Open weights
No
Yes
Release
Sep 2, 2026
Sep 22, 2025
Knowledge cutoff
-
-
API / provider
Alibaba Cloud
No primary API price listed
Modalities
text, image, video → text
text, image, audio, video → text, audio
Specs
Context window
1M
66K
Max output
131K
16K
Parameters
2.4T (95B act.)
30B (3B act.)
Pricing
Input $/1M
$2
—
Output $/1M
$6
—
Blended $/1M (3∶1)
$3
-
Speed
tok/s
-
-
TTFT (s)
-
-
Reasoning
MMLU-Pro
—
—
GPQA Diamond
—
62.0
Humanity's Last Exam
—
4.6
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
—
14.3
AA-LCR v1.1
—
—
CritPt
—
—
MMMU-Pro
—
55.5
IFBench
—
31.2
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
—
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
—
—
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
1,681
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
—
| Metric | Qwen3.8 Max 0902 | Qwen3-Omni-30B-A3B-Instruct | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Alibaba | Alibaba | — |
| Family | Qwen | Qwen | — |
| License | Proprietary | Apache 2.0 | — |
| Open weights | No | Yes | — |
| Release | Sep 2, 2026 | Sep 22, 2025 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Alibaba Cloud | No primary API price listed | — |
| Modalities | text, image, video → text | text, image, audio, video → text, audio | — |
| Specs | |||
| Context window | 1M | 66K | A +934K |
| Max output | 131K | 16K | A +115K |
| Parameters | 2.4T (95B act.) | 30B (3B act.) | A +2K |
| Pricing | |||
| Input $/1M | $2 | — | — |
| Output $/1M | $6 | — | — |
| Blended $/1M (3∶1) | $3 | - | — |
| Speed | |||
| tok/s | - | - | — |
| TTFT (s) | - | - | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | — | 62.0 | — |
| Humanity's Last Exam | — | 4.6 | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | — | 14.3 | — |
| AA-LCR v1.1 | — | — | — |
| CritPt | — | — | — |
| MMMU-Pro | — | 55.5 | — |
| IFBench | — | 31.2 | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | — | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | 1,681 | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | — | — |
Qwen3.8 Max 0902
- Context
- 1M / 131K out
- Parameters
- 2.4T (95B act.)
- Price
- $2 / $6
- Speed
- —
- Modalities
- text, image, video → text
- License
- Proprietary
September 2, 2026 hosted post-training snapshot of Qwen3.8-Max, further trained for coding and workplace/agent workflows. Same 2.4T MoE / 95B active architecture, 1M multimodal context, and $2/$6 QwenCloud pricing as the August 3 Max release. Arena Code/WebDev listed qwen3.8-max-0902 at 1688 (preliminary) on the Sep 2, 2026 snapshot.
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.
These two models have no overlapping published benchmarks in our dataset. Compare specs and pricing instead.