vs
0:11
overall capability wins (0 ties across 11 scored). Qwen3.8 Max leads overall.
- Reasoning0:4
- Coding0:2
- Arena0:1
- Tool use0:1
- Composite indices0:2
- Pricing3:0
- Speed2:0
- Specs0:3
Verdict
Qwen3.8 Max leads coding (widest gap: +76.1 on TermBench); Qwen3.8 Max ranks higher on LMArena (+134 Elo); Qwen3.8 Max offers ~7.6x larger context (1M vs 131K).
- Qwen3.8 Max leads coding (widest gap: +76.1 on TermBench)
- Qwen3.8 Max ranks higher on LMArena (+134 Elo)
- Qwen3.8 Max offers ~7.6x larger context (1M vs 131K)
- Qwen3.8 Max allows ~8.0x more max output (131K vs 16K)
- Qwen3 32B is ~20.0x cheaper on a blended token basis than Qwen3.8 Max
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Qwen3 32B
- $0.17
- Qwen3.8 Max
- $3.50
Qwen3 32B is about 20.0x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Alibaba
Alibaba
Family
Qwen
Qwen
License
Apache 2.0
Qwen3.8-Max License
Open weights
Yes
Yes
Release
Apr 29, 2025
Aug 3, 2026
Knowledge cutoff
-
-
API / provider
Together / Fireworks (ref.)
Alibaba Cloud
Modalities
text → text
text, image, video → text
Specs
Context window
131K
1M
Max output
16K
131K
Parameters
32B
2.4T (95B act.)
Pricing
Input $/1M
$0.10
$2
Output $/1M
$0.30
$6
Blended $/1M (3∶1)
$0.15
$3
Speed
tok/s
100
86
TTFT (s)
0.25
0.4
Reasoning
MMLU-Pro
—
—
GPQA Diamond
66.8
92.8
Humanity's Last Exam
7.4
43.1
AIME 2025
72.9
—
MATH-500
97.2
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
17.4
31.7
AA-LCR v1.1
—
80.3
CritPt
0.3
17.7
MMMU-Pro
—
82.8
IFBench
36.3
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
67.7
SWE-bench Multilingual
—
—
LiveCodeBench
65.7
—
Terminal-Bench 2.1
5.2
81.3
Aider Polyglot
40.0
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
36.0
52.1
CursorBench
—
—
SWE-Rebench
8.1
—
NL2Repo-Bench
—
55.9
DeepSWE
—
56.6
WebDev Arena
—
1,671
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
1,347
1,481
| Metric | Qwen3 32B | Qwen3.8 Max | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Alibaba | Alibaba | — |
| Family | Qwen | Qwen | — |
| License | Apache 2.0 | Qwen3.8-Max License | — |
| Open weights | Yes | Yes | — |
| Release | Apr 29, 2025 | Aug 3, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Together / Fireworks (ref.) | Alibaba Cloud | — |
| Modalities | text → text | text, image, video → text | — |
| Specs | |||
| Context window | 131K | 1M | B +869K |
| Max output | 16K | 131K | B +115K |
| Parameters | 32B | 2.4T (95B act.) | B +2K |
| Pricing | |||
| Input $/1M | $0.10 | $2 | A +$1.90 |
| Output $/1M | $0.30 | $6 | A +$5.70 |
| Blended $/1M (3∶1) | $0.15 | $3 | A +$2.85 |
| Speed | |||
| tok/s | 100 | 86 | A +14 |
| TTFT (s) | 0.25 | 0.4 | A +0.15 |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 66.8 | 92.8 | B +26.0 pts |
| Humanity's Last Exam | 7.4 | 43.1 | B +35.7 pts |
| AIME 2025 | 72.9 | — | — |
| MATH-500 | 97.2 | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 17.4 | 31.7 | B +14.3 pts |
| AA-LCR v1.1 | — | 80.3 | — |
| CritPt | 0.3 | 17.7 | B +17.4 pts |
| MMMU-Pro | — | 82.8 | — |
| IFBench | 36.3 | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | 67.7 | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | 65.7 | — | — |
| Terminal-Bench 2.1 | 5.2 | 81.3 | B +76.1 pts |
| Aider Polyglot | 40.0 | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 36.0 | 52.1 | B +16.1 pts |
| CursorBench | — | — | — |
| SWE-Rebench | 8.1 | — | — |
| NL2Repo-Bench | — | 55.9 | — |
| DeepSWE | — | 56.6 | — |
| WebDev Arena | — | 1,671 | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | 1,347 | 1,481 | B +134 Elo |
Qwen3 32B
- Context
- 131K / 16K out
- Parameters
- 32B
- Price
- $0.10 / $0.30
- Speed
- 100 tok/s · 0.25s TTFT
- Modalities
- text → text
- License
- Apache 2.0
Dense 32B open model that fits a single H100 - popular self-host coding choice.
Qwen3.8 Max
- Context
- 1M / 131K out
- Parameters
- 2.4T (95B act.)
- Price
- $2 / $6
- Speed
- 86 tok/s · 0.4s TTFT
- Modalities
- text, image, video → text
- License
- Qwen3.8-Max License
Alibaba's Aug 2026 Max flagship (2.4T MoE / 95B active) — frontier agentic coding via QwenCloud / DashScope with 1M multimodal context and $2/$6 API pricing. Open weights released Aug 12, 2026 as Qwen3.8-2.4T-A95B (text-only, thinking-mandatory, Qwen3.8-Max license); the hosted version adds vision input, non-thinking mode, and built-in tools.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.