vs
8:0
overall capability wins (1 ties across 9 scored). Qwen3.8 Flash Next leads overall.
- Reasoning4:0
- Coding2:0
- Tool use1:0
- Pricing2:1
- Speed0:2
- Specs1:0
Verdict
Qwen3.8 Flash Next leads coding (widest gap: +79.4 on TermBench); Qwen3.8 Flash Next allows ~8.0x more max output (131K vs 16K).
- Qwen3.8 Flash Next leads coding (widest gap: +79.4 on TermBench)
- 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-Next 80B-A3B
- $0.29
Qwen3.8 Flash Next is about 1.1x cheaper on this workload.
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 15, 2025
Knowledge cutoff
-
-
API / provider
Alibaba (QwenCloud)
Alibaba / Together (ref.)
Modalities
text, image, video → text
text → text
Specs
Context window
262K
262K
Max output
131K
16K
Parameters
—
80B (3B act.)
Pricing
Input $/1M
$0.15
$0.09
Output $/1M
$0.47
$0.78
Blended $/1M (3∶1)
$0.23
$0.26
Speed
tok/s
77.3
110
TTFT (s)
2.79
0.3
Reasoning
MMLU-Pro
—
80.6
GPQA Diamond
92.3
75.9
Humanity's Last Exam
38.0
12.6
AIME 2025
—
69.5
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
24.5
19.0
AA-LCR v1.1
79.7
63.7
CritPt
11.1
—
MMMU-Pro
79.8
—
IFBench
—
60.7
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
56.6
Terminal-Bench 2.1
86.1
6.7
Aider Polyglot
—
49.8
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
50.6
38.8
CursorBench
—
—
SWE-Rebench
—
20.1
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
1,635
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
1,399
| Metric | Qwen3.8 Flash Next | Qwen3-Next 80B-A3B | 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 15, 2025 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Alibaba (QwenCloud) | Alibaba / Together (ref.) | — |
| Modalities | text, image, video → text | text → text | — |
| Specs | |||
| Context window | 262K | 262K | tie |
| Max output | 131K | 16K | A +115K |
| Parameters | — | 80B (3B act.) | — |
| Pricing | |||
| Input $/1M | $0.15 | $0.09 | B +$0.06 |
| Output $/1M | $0.47 | $0.78 | A +$0.31 |
| Blended $/1M (3∶1) | $0.23 | $0.26 | A +$0.03 |
| Speed | |||
| tok/s | 77.3 | 110 | B +33 |
| TTFT (s) | 2.79 | 0.3 | B +2.49 |
| Reasoning | |||
| MMLU-Pro | — | 80.6 | — |
| GPQA Diamond | 92.3 | 75.9 | A +16.4 pts |
| Humanity's Last Exam | 38.0 | 12.6 | A +25.4 pts |
| AIME 2025 | — | 69.5 | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 24.5 | 19.0 | A +5.5 pts |
| AA-LCR v1.1 | 79.7 | 63.7 | A +16.0 pts |
| CritPt | 11.1 | — | — |
| MMMU-Pro | 79.8 | — | — |
| IFBench | — | 60.7 | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | 56.6 | — |
| Terminal-Bench 2.1 | 86.1 | 6.7 | A +79.4 pts |
| Aider Polyglot | — | 49.8 | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 50.6 | 38.8 | A +11.8 pts |
| CursorBench | — | — | — |
| SWE-Rebench | — | 20.1 | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | 1,635 | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | 1,399 | — |
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-Next 80B-A3B
- Context
- 262K / 16K out
- Parameters
- 80B (3B act.)
- Price
- $0.09 / $0.78
- Speed
- 110 tok/s · 0.3s TTFT
- Modalities
- text → text
- License
- Apache 2.0
Ultra-sparse 80B MoE (3B active) — high throughput instruct model in the Qwen3 family.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.