vs
1:10
overall capability wins (1 ties across 12 scored). Qwen3.8 Flash Next leads overall.
- Reasoning1:5
- Coding0:3
- Tool use0:1
- Composite indices0:2
- Pricing0:3
- Speed1:1
- Specs0:1
Verdict
Qwen3.8 Flash Next leads coding (widest gap: +236.4 on WebDev Elo); Qwen3.8 Flash Next allows ~4.0x more max output (131K vs 33K); Qwen3.8 Flash Next is ~2.6x cheaper on a blended token basis than Qwen3.5 397B-A17B.
- Qwen3.8 Flash Next leads coding (widest gap: +236.4 on WebDev Elo)
- Qwen3.8 Flash Next allows ~4.0x more max output (131K vs 33K)
- Qwen3.8 Flash Next is ~2.6x cheaper on a blended token basis than Qwen3.5 397B-A17B
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Qwen3.5 397B-A17B
- $0.70
- Qwen3.8 Flash Next
- $0.27
Qwen3.8 Flash Next is about 2.6x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Alibaba
Alibaba
Family
Qwen
Qwen
License
Apache 2.0
Qwen Community License 1.0
Open weights
Yes
Yes
Release
Mar 1, 2026
Aug 26, 2026
Knowledge cutoff
-
-
API / provider
Together / Fireworks (ref.)
Alibaba (QwenCloud)
Modalities
text → text
text, image, video → text
Specs
Context window
262K
262K
Max output
33K
131K
Parameters
397B (17B act.)
—
Pricing
Input $/1M
$0.40
$0.15
Output $/1M
$1.20
$0.47
Blended $/1M (3∶1)
$0.60
$0.23
Speed
tok/s
75
77.3
TTFT (s)
0.4
2.79
Reasoning
MMLU-Pro
—
—
GPQA Diamond
89.3
92.3
Humanity's Last Exam
29.0
38.0
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
30.8
24.5
AA-LCR v1.1
77.3
79.7
CritPt
1.7
11.1
MMMU-Pro
77.3
79.8
IFBench
78.8
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
51.3
86.1
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
44.8
50.6
CursorBench
—
—
SWE-Rebench
59.9
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
1,399
1,635
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
1,442
—
| Metric | Qwen3.5 397B-A17B | Qwen3.8 Flash Next | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Alibaba | Alibaba | — |
| Family | Qwen | Qwen | — |
| License | Apache 2.0 | Qwen Community License 1.0 | — |
| Open weights | Yes | Yes | — |
| Release | Mar 1, 2026 | Aug 26, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Together / Fireworks (ref.) | Alibaba (QwenCloud) | — |
| Modalities | text → text | text, image, video → text | — |
| Specs | |||
| Context window | 262K | 262K | tie |
| Max output | 33K | 131K | B +98K |
| Parameters | 397B (17B act.) | — | — |
| Pricing | |||
| Input $/1M | $0.40 | $0.15 | B +$0.25 |
| Output $/1M | $1.20 | $0.47 | B +$0.73 |
| Blended $/1M (3∶1) | $0.60 | $0.23 | B +$0.37 |
| Speed | |||
| tok/s | 75 | 77.3 | B +2.30 |
| TTFT (s) | 0.4 | 2.79 | A +2.39 |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 89.3 | 92.3 | B +3.0 pts |
| Humanity's Last Exam | 29.0 | 38.0 | B +9.0 pts |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 30.8 | 24.5 | A +6.3 pts |
| AA-LCR v1.1 | 77.3 | 79.7 | B +2.4 pts |
| CritPt | 1.7 | 11.1 | B +9.4 pts |
| MMMU-Pro | 77.3 | 79.8 | B +2.5 pts |
| IFBench | 78.8 | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | 51.3 | 86.1 | B +34.8 pts |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 44.8 | 50.6 | B +5.8 pts |
| CursorBench | — | — | — |
| SWE-Rebench | 59.9 | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | 1,399 | 1,635 | B +236 Elo |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | 1,442 | — | — |
Qwen3.5 397B-A17B
- Context
- 262K / 33K out
- Parameters
- 397B (17B act.)
- Price
- $0.40 / $1.20
- Speed
- 75 tok/s · 0.4s TTFT
- Modalities
- text → text
- License
- Apache 2.0
Large open MoE from the Qwen3.5 line under Apache 2.0.
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.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.