vs
2:14
overall capability wins (1 ties across 17 scored). Qwen3.8 Max leads overall.
- Reasoning1:4
- Coding0:5
- Arena0:1
- Agents0:1
- Tool use0:2
- Composite indices0:2
- Pricing3:0
- Speed0:1
- Specs1:1
Verdict
Qwen3.8 Max leads coding (widest gap: +224.9 on WebDev Elo); Qwen3.8 Max ranks higher on LMArena (+23 Elo); DeepSeek V4 Pro allows ~2.9x more max output (384K vs 131K).
- Qwen3.8 Max leads coding (widest gap: +224.9 on WebDev Elo)
- Qwen3.8 Max ranks higher on LMArena (+23 Elo)
- DeepSeek V4 Pro allows ~2.9x more max output (384K vs 131K)
- DeepSeek V4 Pro is ~5.5x cheaper on a blended token basis than Qwen3.8 Max
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- DeepSeek V4 Pro
- $0.65
- Qwen3.8 Max
- $3.50
DeepSeek V4 Pro is about 5.4x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
DeepSeek
Alibaba
Family
DeepSeek
Qwen
License
MIT
Qwen3.8-Max License
Open weights
Yes
Yes
Release
Apr 24, 2026
Aug 3, 2026
Knowledge cutoff
-
-
API / provider
DeepSeek
Alibaba Cloud
Modalities
text → text
text, image, video → text
Specs
Context window
1M
1M
Max output
384K
131K
Parameters
1.6T (49B act.)
2.4T (95B act.)
Pricing
Input $/1M
$0.43
$2
Output $/1M
$0.87
$6
Blended $/1M (3∶1)
$0.54
$3
Speed
tok/s
85
86
TTFT (s)
0.4
0.4
Reasoning
MMLU-Pro
—
—
GPQA Diamond
88.8
92.8
Humanity's Last Exam
37.5
43.1
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
43.0
31.7
AA-LCR v1.1
74.7
80.3
CritPt
12.9
17.7
MMMU-Pro
—
82.8
IFBench
76.5
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
67.7
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
64.0
81.3
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
50.8
52.1
CursorBench
—
—
SWE-Rebench
41.4
—
NL2Repo-Bench
38.5
55.9
DeepSWE
12.8
56.6
WebDev Arena
1,446
1,671
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
1,457
1,481
| Metric | DeepSeek V4 Pro | Qwen3.8 Max | Delta |
|---|---|---|---|
| Identity | |||
| Organization | DeepSeek | Alibaba | — |
| Family | DeepSeek | Qwen | — |
| License | MIT | Qwen3.8-Max License | — |
| Open weights | Yes | Yes | — |
| Release | Apr 24, 2026 | Aug 3, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | DeepSeek | Alibaba Cloud | — |
| Modalities | text → text | text, image, video → text | — |
| Specs | |||
| Context window | 1M | 1M | tie |
| Max output | 384K | 131K | A +253K |
| Parameters | 1.6T (49B act.) | 2.4T (95B act.) | B +800 |
| Pricing | |||
| Input $/1M | $0.43 | $2 | A +$1.56 |
| Output $/1M | $0.87 | $6 | A +$5.13 |
| Blended $/1M (3∶1) | $0.54 | $3 | A +$2.46 |
| Speed | |||
| tok/s | 85 | 86 | B +1.00 |
| TTFT (s) | 0.4 | 0.4 | tie |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 88.8 | 92.8 | B +4.0 pts |
| Humanity's Last Exam | 37.5 | 43.1 | B +5.6 pts |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 43.0 | 31.7 | A +11.3 pts |
| AA-LCR v1.1 | 74.7 | 80.3 | B +5.6 pts |
| CritPt | 12.9 | 17.7 | B +4.8 pts |
| MMMU-Pro | — | 82.8 | — |
| IFBench | 76.5 | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | 67.7 | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | 64.0 | 81.3 | B +17.3 pts |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 50.8 | 52.1 | B +1.3 pts |
| CursorBench | — | — | — |
| SWE-Rebench | 41.4 | — | — |
| NL2Repo-Bench | 38.5 | 55.9 | B +17.4 pts |
| DeepSWE | 12.8 | 56.6 | B +43.8 pts |
| WebDev Arena | 1,446 | 1,671 | B +225 Elo |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | 1,457 | 1,481 | B +23 Elo |
DeepSeek V4 Pro
- Context
- 1M / 384K out
- Parameters
- 1.6T (49B act.)
- Price
- $0.43 / $0.87
- Speed
- 85 tok/s · 0.4s TTFT
- Modalities
- text → text
- License
- MIT
Open-weight frontier MoE - exceptional quality-per-dollar with MIT license and 1M context. Scores shown are the original preview; the GA 0813 release improves agentic coding substantially.
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.