vs
0:9
overall capability wins (0 ties across 9 scored). Qwen3.8 Max leads overall.
- Reasoning0:3
- Coding0:2
- Arena0:1
- Pricing3:0
- Speed1:1
- Specs0:3
Verdict
Qwen3.8 Max leads coding (widest gap: +46.3 on SWE-Pro); Qwen3.8 Max ranks higher on LMArena (+106 Elo); Qwen3.8 Max offers ~7.6x larger context (1M vs 131K).
- Qwen3.8 Max leads coding (widest gap: +46.3 on SWE-Pro)
- Qwen3.8 Max ranks higher on LMArena (+106 Elo)
- Qwen3.8 Max offers ~7.6x larger context (1M vs 131K)
- Qwen3.8 Max allows ~4.0x more max output (131K vs 33K)
- Qwen3 235B-A22B is ~6.9x 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 235B-A22B
- $0.51
- Qwen3.8 Max
- $3.50
Qwen3 235B-A22B is about 6.8x 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
33K
131K
Parameters
235B (22B act.)
2.4T (95B act.)
Pricing
Input $/1M
$0.30
$2
Output $/1M
$0.85
$6
Blended $/1M (3∶1)
$0.44
$3
Speed
tok/s
80
86
TTFT (s)
0.35
0.4
Reasoning
MMLU-Pro
—
—
GPQA Diamond
70.0
92.8
Humanity's Last Exam
11.0
43.1
AIME 2025
81.5
—
MATH-500
98.0
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
18.5
31.7
AA-LCR v1.1
—
80.3
CritPt
—
17.7
MMMU-Pro
—
82.8
IFBench
38.7
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
21.4
67.7
SWE-bench Multilingual
—
—
LiveCodeBench
80.4
—
Terminal-Bench 2.1
—
81.3
Aider Polyglot
59.6
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
39.9
52.1
CursorBench
—
—
SWE-Rebench
18.5
—
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
1,375
1,481
| Metric | Qwen3 235B-A22B | 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 | 33K | 131K | B +98K |
| Parameters | 235B (22B act.) | 2.4T (95B act.) | B +2K |
| Pricing | |||
| Input $/1M | $0.30 | $2 | A +$1.70 |
| Output $/1M | $0.85 | $6 | A +$5.15 |
| Blended $/1M (3∶1) | $0.44 | $3 | A +$2.56 |
| Speed | |||
| tok/s | 80 | 86 | B +6.00 |
| TTFT (s) | 0.35 | 0.4 | A +0.05 |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 70.0 | 92.8 | B +22.8 pts |
| Humanity's Last Exam | 11.0 | 43.1 | B +32.1 pts |
| AIME 2025 | 81.5 | — | — |
| MATH-500 | 98.0 | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 18.5 | 31.7 | B +13.2 pts |
| AA-LCR v1.1 | — | 80.3 | — |
| CritPt | — | 17.7 | — |
| MMMU-Pro | — | 82.8 | — |
| IFBench | 38.7 | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | 21.4 | 67.7 | B +46.3 pts |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | 80.4 | — | — |
| Terminal-Bench 2.1 | — | 81.3 | — |
| Aider Polyglot | 59.6 | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 39.9 | 52.1 | B +12.2 pts |
| CursorBench | — | — | — |
| SWE-Rebench | 18.5 | — | — |
| 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 | 1,375 | 1,481 | B +106 Elo |
Qwen3 235B-A22B
- Context
- 131K / 33K out
- Parameters
- 235B (22B act.)
- Price
- $0.30 / $0.85
- Speed
- 80 tok/s · 0.35s TTFT
- Modalities
- text → text
- License
- Apache 2.0
Widely used open Qwen3 MoE - strong multilingual and tool-use performance.
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.