vs
0:2
overall capability wins (1 ties across 3 scored). Qwen3.8 Max 0902 leads overall.
- Coding0:1
- Pricing3:0
- Specs0:1
Verdict
Qwen3.8 Max 0902 leads coding (widest gap: +45.5 on WebDev Elo); Qwen3.8 Max 0902 offers ~3.8x larger context (1M vs 262K); Qwen3.8 Flash Next ships open weights (Qwen Community License 1.0).
- Qwen3.8 Max 0902 leads coding (widest gap: +45.5 on WebDev Elo)
- Qwen3.8 Max 0902 offers ~3.8x larger context (1M vs 262K)
- Qwen3.8 Flash Next ships open weights (Qwen Community License 1.0)
- Qwen3.8 Flash Next is ~13.0x cheaper on a blended token basis than Qwen3.8 Max 0902
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Qwen3.8 Flash Next
- $0.27
- Qwen3.8 Max 0902
- $3.50
Qwen3.8 Flash Next is about 13.1x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Alibaba
Alibaba
Family
Qwen
Qwen
License
Qwen Community License 1.0
Proprietary
Open weights
Yes
No
Release
Aug 26, 2026
Sep 2, 2026
Knowledge cutoff
-
-
API / provider
Alibaba (QwenCloud)
Alibaba Cloud
Modalities
text, image, video → text
text, image, video → text
Specs
Context window
262K
1M
Max output
131K
131K
Parameters
—
2.4T (95B act.)
Pricing
Input $/1M
$0.15
$2
Output $/1M
$0.47
$6
Blended $/1M (3∶1)
$0.23
$3
Speed
tok/s
77.3
-
TTFT (s)
2.79
-
Reasoning
MMLU-Pro
—
—
GPQA Diamond
92.3
—
Humanity's Last Exam
38.0
—
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
24.5
—
AA-LCR v1.1
79.7
—
CritPt
11.1
—
MMMU-Pro
79.8
—
IFBench
—
—
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
1,681
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
—
| Metric | Qwen3.8 Flash Next | Qwen3.8 Max 0902 | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Alibaba | Alibaba | — |
| Family | Qwen | Qwen | — |
| License | Qwen Community License 1.0 | Proprietary | — |
| Open weights | Yes | No | — |
| Release | Aug 26, 2026 | Sep 2, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Alibaba (QwenCloud) | Alibaba Cloud | — |
| Modalities | text, image, video → text | text, image, video → text | — |
| Specs | |||
| Context window | 262K | 1M | B +738K |
| Max output | 131K | 131K | tie |
| Parameters | — | 2.4T (95B act.) | — |
| Pricing | |||
| Input $/1M | $0.15 | $2 | A +$1.85 |
| Output $/1M | $0.47 | $6 | A +$5.53 |
| Blended $/1M (3∶1) | $0.23 | $3 | A +$2.77 |
| Speed | |||
| tok/s | 77.3 | - | — |
| TTFT (s) | 2.79 | - | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 92.3 | — | — |
| Humanity's Last Exam | 38.0 | — | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 24.5 | — | — |
| AA-LCR v1.1 | 79.7 | — | — |
| CritPt | 11.1 | — | — |
| MMMU-Pro | 79.8 | — | — |
| IFBench | — | — | — |
| 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 | 1,681 | B +46 Elo |
| 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.
Qwen3.8 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.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.