vs
0:2
overall capability wins (0 ties across 2 scored). Qwen3.7 Plus leads overall.
- Pricing3:0
- Speed2:0
- Specs0:2
Verdict
Qwen3.7 Plus offers ~7.6x larger context (1M vs 131K); Qwen3.7 Plus allows ~8.0x more max output (66K vs 8K); Qwen2.5 14B Instruct ships open weights (Apache 2.0).
- Qwen3.7 Plus offers ~7.6x larger context (1M vs 131K)
- Qwen3.7 Plus allows ~8.0x more max output (66K vs 8K)
- Qwen2.5 14B Instruct ships open weights (Apache 2.0)
- Qwen2.5 14B Instruct is ~7.0x cheaper on a blended token basis than Qwen3.7 Plus
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Qwen2.5 14B Instruct
- $0.13
- Qwen3.7 Plus
- $0.80
Qwen2.5 14B Instruct is about 6.4x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Alibaba
Alibaba
Family
Qwen
Qwen
License
Apache 2.0
Proprietary
Open weights
Yes
No
Release
Sep 19, 2024
Jun 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
8K
66K
Parameters
14B
—
Pricing
Input $/1M
$0.10
$0.40
Output $/1M
$0.10
$1.60
Blended $/1M (3∶1)
$0.10
$0.70
Speed
tok/s
100
95
TTFT (s)
0.25
0.35
Reasoning
MMLU-Pro
63.7
—
GPQA Diamond
—
90.0
Humanity's Last Exam
—
35.6
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
—
22.5
AA-LCR v1.1
—
73.0
CritPt
—
9.1
MMMU-Pro
—
80.5
IFBench
—
78.0
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
42.6
—
Terminal-Bench 2.1
—
61.0
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
39.8
—
SciCode
—
46.1
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
1,456
| Metric | Qwen2.5 14B Instruct | Qwen3.7 Plus | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Alibaba | Alibaba | — |
| Family | Qwen | Qwen | — |
| License | Apache 2.0 | Proprietary | — |
| Open weights | Yes | No | — |
| Release | Sep 19, 2024 | Jun 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 | 8K | 66K | B +57K |
| Parameters | 14B | — | — |
| Pricing | |||
| Input $/1M | $0.10 | $0.40 | A +$0.30 |
| Output $/1M | $0.10 | $1.60 | A +$1.50 |
| Blended $/1M (3∶1) | $0.10 | $0.70 | A +$0.60 |
| Speed | |||
| tok/s | 100 | 95 | A +5.00 |
| TTFT (s) | 0.25 | 0.35 | A +0.10 |
| Reasoning | |||
| MMLU-Pro | 63.7 | — | — |
| GPQA Diamond | — | 90.0 | — |
| Humanity's Last Exam | — | 35.6 | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | — | 22.5 | — |
| AA-LCR v1.1 | — | 73.0 | — |
| CritPt | — | 9.1 | — |
| MMMU-Pro | — | 80.5 | — |
| IFBench | — | 78.0 | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | 42.6 | — | — |
| Terminal-Bench 2.1 | — | 61.0 | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | 39.8 | — | — |
| SciCode | — | 46.1 | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | 1,456 | — |
Qwen2.5 14B Instruct
- Context
- 131K / 8K out
- Parameters
- 14B
- Price
- $0.10 / $0.10
- Speed
- 100 tok/s · 0.25s TTFT
- Modalities
- text → text
- License
- Apache 2.0
Efficient open 14B Qwen2.5 instruct — popular single-GPU self-host and fine-tune base.
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.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.
These two models have no overlapping published benchmarks in our dataset. Compare specs and pricing instead.