vs
4:6
overall capability wins (1 ties across 11 scored). Qwen3.8 Flash Next leads overall.
- Reasoning3:1
- Coding0:3
- Tool use0:1
- Composite indices0:2
- Pricing0:3
- Speed1:1
- Specs1:1
Verdict
Qwen3.8 Flash Next leads coding (widest gap: +118.2 on WebDev Elo); Qwen3.7 Max edges reasoning & knowledge; Qwen3.7 Max offers ~3.8x larger context (1M vs 262K).
- Qwen3.8 Flash Next leads coding (widest gap: +118.2 on WebDev Elo)
- Qwen3.7 Max edges reasoning & knowledge
- Qwen3.7 Max offers ~3.8x larger context (1M vs 262K)
- Qwen3.8 Flash Next allows ~2.0x more max output (131K vs 66K)
- Qwen3.8 Flash Next ships open weights (Qwen Community License 1.0)
- Qwen3.8 Flash Next is ~16.3x cheaper on a blended token basis than Qwen3.7 Max
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Qwen3.7 Max
- $4.38
- Qwen3.8 Flash Next
- $0.27
Qwen3.8 Flash Next is about 16.4x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Alibaba
Alibaba
Family
Qwen
Qwen
License
Proprietary
Qwen Community License 1.0
Open weights
No
Yes
Release
May 21, 2026
Aug 26, 2026
Knowledge cutoff
-
-
API / provider
Alibaba Cloud
Alibaba (QwenCloud)
Modalities
text, image → text
text, image, video → text
Specs
Context window
1M
262K
Max output
66K
131K
Parameters
—
—
Pricing
Input $/1M
$2.50
$0.15
Output $/1M
$7.50
$0.47
Blended $/1M (3∶1)
$3.75
$0.23
Speed
tok/s
70
77.3
TTFT (s)
0.45
2.79
Reasoning
MMLU-Pro
—
—
GPQA Diamond
92.3
92.3
Humanity's Last Exam
40.5
38.0
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
31.1
24.5
AA-LCR v1.1
79.0
79.7
CritPt
13.4
11.1
MMMU-Pro
—
79.8
IFBench
80.5
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
80.4
—
SWE-bench Pro
—
—
SWE-bench Multilingual
78.3
—
LiveCodeBench
—
—
Terminal-Bench 2.1
74.5
86.1
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
49.5
50.6
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
1,517
1,635
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
1,473
—
| Metric | Qwen3.7 Max | Qwen3.8 Flash Next | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Alibaba | Alibaba | — |
| Family | Qwen | Qwen | — |
| License | Proprietary | Qwen Community License 1.0 | — |
| Open weights | No | Yes | — |
| Release | May 21, 2026 | Aug 26, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Alibaba Cloud | Alibaba (QwenCloud) | — |
| Modalities | text, image → text | text, image, video → text | — |
| Specs | |||
| Context window | 1M | 262K | A +738K |
| Max output | 66K | 131K | B +66K |
| Parameters | — | — | — |
| Pricing | |||
| Input $/1M | $2.50 | $0.15 | B +$2.35 |
| Output $/1M | $7.50 | $0.47 | B +$7.03 |
| Blended $/1M (3∶1) | $3.75 | $0.23 | B +$3.52 |
| Speed | |||
| tok/s | 70 | 77.3 | B +7.30 |
| TTFT (s) | 0.45 | 2.79 | A +2.34 |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 92.3 | 92.3 | tie |
| Humanity's Last Exam | 40.5 | 38.0 | A +2.5 pts |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 31.1 | 24.5 | A +6.6 pts |
| AA-LCR v1.1 | 79.0 | 79.7 | B +0.7 pts |
| CritPt | 13.4 | 11.1 | A +2.3 pts |
| MMMU-Pro | — | 79.8 | — |
| IFBench | 80.5 | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | 80.4 | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | 78.3 | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | 74.5 | 86.1 | B +11.6 pts |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 49.5 | 50.6 | B +1.1 pts |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | 1,517 | 1,635 | B +118 Elo |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | 1,473 | — | — |
Qwen3.7 Max
- Context
- 1M / 66K out
- Parameters
- —
- Price
- $2.50 / $7.50
- Speed
- 70 tok/s · 0.45s TTFT
- Modalities
- text, image → text
- License
- Proprietary
Alibaba's closed Max flagship - near-frontier coding and reasoning via DashScope.
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.