vs
8:0
overall capability wins (0 ties across 8 scored). Qwen3.7 Plus leads overall.
- Reasoning5:0
- Coding1:0
- Pricing0:3
- Speed0:2
- Specs2:0
Verdict
Qwen3.7 Plus leads coding (widest gap: +18.3 on SciCode); Qwen3.7 Plus offers ~6.3x larger context (1M vs 160K); Qwen3.7 Plus allows ~4.0x more max output (66K vs 16K).
- Qwen3.7 Plus leads coding (widest gap: +18.3 on SciCode)
- Qwen3.7 Plus offers ~6.3x larger context (1M vs 160K)
- Qwen3.7 Plus allows ~4.0x more max output (66K vs 16K)
- Qwen3-Coder 30B-A3B ships open weights (Apache 2.0)
- Qwen3-Coder 30B-A3B is ~5.8x cheaper on a blended token basis than Qwen3.7 Plus
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Qwen3.7 Plus
- $0.80
- Qwen3-Coder 30B-A3B
- $0.14
Qwen3-Coder 30B-A3B is about 5.8x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Alibaba
Alibaba
Family
Qwen
Qwen
License
Proprietary
Apache 2.0
Open weights
No
Yes
Release
Jun 3, 2026
Jul 22, 2025
Knowledge cutoff
-
-
API / provider
Alibaba Cloud
Alibaba / Together (ref.)
Modalities
text, image, video → text
text → text
Specs
Context window
1M
160K
Max output
66K
16K
Parameters
—
30B (3B act.)
Pricing
Input $/1M
$0.40
$0.07
Output $/1M
$1.60
$0.27
Blended $/1M (3∶1)
$0.70
$0.12
Speed
tok/s
95
120
TTFT (s)
0.35
0.25
Reasoning
MMLU-Pro
—
70.6
GPQA Diamond
90.0
51.6
Humanity's Last Exam
35.6
3.8
AIME 2025
—
29.0
MATH-500
—
89.3
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
22.5
16.4
AA-LCR v1.1
73.0
32.7
CritPt
9.1
—
MMMU-Pro
80.5
—
IFBench
78.0
32.7
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
40.3
Terminal-Bench 2.1
61.0
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
46.1
27.8
CursorBench
—
—
SWE-Rebench
—
21.6
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
1,456
—
| Metric | Qwen3.7 Plus | Qwen3-Coder 30B-A3B | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Alibaba | Alibaba | — |
| Family | Qwen | Qwen | — |
| License | Proprietary | Apache 2.0 | — |
| Open weights | No | Yes | — |
| Release | Jun 3, 2026 | Jul 22, 2025 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Alibaba Cloud | Alibaba / Together (ref.) | — |
| Modalities | text, image, video → text | text → text | — |
| Specs | |||
| Context window | 1M | 160K | A +840K |
| Max output | 66K | 16K | A +49K |
| Parameters | — | 30B (3B act.) | — |
| Pricing | |||
| Input $/1M | $0.40 | $0.07 | B +$0.33 |
| Output $/1M | $1.60 | $0.27 | B +$1.33 |
| Blended $/1M (3∶1) | $0.70 | $0.12 | B +$0.58 |
| Speed | |||
| tok/s | 95 | 120 | B +25 |
| TTFT (s) | 0.35 | 0.25 | B +0.10 |
| Reasoning | |||
| MMLU-Pro | — | 70.6 | — |
| GPQA Diamond | 90.0 | 51.6 | A +38.4 pts |
| Humanity's Last Exam | 35.6 | 3.8 | A +31.8 pts |
| AIME 2025 | — | 29.0 | — |
| MATH-500 | — | 89.3 | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 22.5 | 16.4 | A +6.1 pts |
| AA-LCR v1.1 | 73.0 | 32.7 | A +40.3 pts |
| CritPt | 9.1 | — | — |
| MMMU-Pro | 80.5 | — | — |
| IFBench | 78.0 | 32.7 | A +45.3 pts |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | 40.3 | — |
| Terminal-Bench 2.1 | 61.0 | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 46.1 | 27.8 | A +18.3 pts |
| CursorBench | — | — | — |
| SWE-Rebench | — | 21.6 | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | 1,456 | — | — |
Qwen3.7 Plus
- Context
- 1M / 66K out
- Parameters
- —
- Price
- $0.40 / $1.60
- Speed
- 95 tok/s · 0.35s TTFT
- Modalities
- text, image, video → text
- License
- Proprietary
Mid-tier Qwen3.7 multimodal agent (Jun 2026) — GUI grounding, tool use, and 1M context at roughly 5× lower cost than Max; no numeric scorecard retained without exact published values.
Qwen3-Coder 30B-A3B
- Context
- 160K / 16K out
- Parameters
- 30B (3B act.)
- Price
- $0.07 / $0.27
- Speed
- 120 tok/s · 0.25s TTFT
- Modalities
- text → text
- License
- Apache 2.0
Sparse coding MoE in the Qwen3-Coder line — efficient agent edits without full 480B cost.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.