vs
0:2
overall capability wins (0 ties across 2 scored). Qwen3.7 Flash leads overall.
- Pricing0:3
- Speed0:2
- Specs0:2
Verdict
Qwen3.7 Flash offers ~7.8x larger context (1M vs 128K); Qwen3.7 Flash allows ~8.0x more max output (66K vs 8K); Qwen2.5-Coder 32B ships open weights (Apache 2.0).
- Qwen3.7 Flash offers ~7.8x larger context (1M vs 128K)
- Qwen3.7 Flash allows ~8.0x more max output (66K vs 8K)
- Qwen2.5-Coder 32B ships open weights (Apache 2.0)
- Qwen3.7 Flash is ~14.5x cheaper on a blended token basis than Qwen2.5-Coder 32B
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Qwen2.5-Coder 32B
- $1
- Qwen3.7 Flash
- $0.06
Qwen3.7 Flash is about 16.0x 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
Nov 12, 2024
Jul 27, 2026
Knowledge cutoff
-
-
API / provider
Together / Fireworks (ref.)
Alibaba Cloud
Modalities
text → text
text, image, video → text
Specs
Context window
128K
1M
Max output
8K
66K
Parameters
32B
—
Pricing
Input $/1M
$0.80
$0.03
Output $/1M
$0.80
$0.13
Blended $/1M (3∶1)
$0.80
$0.06
Speed
tok/s
60
140
TTFT (s)
0.4
0.25
Reasoning
MMLU-Pro
—
—
GPQA Diamond
41.7
—
Humanity's Last Exam
3.5
—
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
—
—
AA-LCR v1.1
—
—
CritPt
—
—
MMMU-Pro
—
—
IFBench
—
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
9.0
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
—
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
49.0
—
SciCode
—
—
CursorBench
—
—
SWE-Rebench
3.1
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
1,271
—
| Metric | Qwen2.5-Coder 32B | Qwen3.7 Flash | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Alibaba | Alibaba | — |
| Family | Qwen | Qwen | — |
| License | Apache 2.0 | Proprietary | — |
| Open weights | Yes | No | — |
| Release | Nov 12, 2024 | Jul 27, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Together / Fireworks (ref.) | Alibaba Cloud | — |
| Modalities | text → text | text, image, video → text | — |
| Specs | |||
| Context window | 128K | 1M | B +872K |
| Max output | 8K | 66K | B +57K |
| Parameters | 32B | — | — |
| Pricing | |||
| Input $/1M | $0.80 | $0.03 | B +$0.77 |
| Output $/1M | $0.80 | $0.13 | B +$0.67 |
| Blended $/1M (3∶1) | $0.80 | $0.06 | B +$0.74 |
| Speed | |||
| tok/s | 60 | 140 | B +80 |
| TTFT (s) | 0.4 | 0.25 | B +0.15 |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 41.7 | — | — |
| Humanity's Last Exam | 3.5 | — | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | — | — | — |
| AA-LCR v1.1 | — | — | — |
| CritPt | — | — | — |
| MMMU-Pro | — | — | — |
| IFBench | — | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | 9.0 | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | 49.0 | — | — |
| SciCode | — | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | 3.1 | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | 1,271 | — | — |
Qwen2.5-Coder 32B
- Context
- 128K / 8K out
- Parameters
- 32B
- Price
- $0.80 / $0.80
- Speed
- 60 tok/s · 0.4s TTFT
- Modalities
- text → text
- License
- Apache 2.0
Leading open coding model of late 2024 — strong repo-level edits before Qwen3-Coder.
Qwen3.7 Flash
- Context
- 1M / 66K out
- Parameters
- —
- Price
- $0.03 / $0.13
- Speed
- 140 tok/s · 0.25s TTFT
- Modalities
- text, image, video → text
- License
- Proprietary
Cheapest Qwen3.7 vision-language tier (Jul 2026) for high-volume multimodal agents; under-32K prompts at $0.03/$0.13 — no public quality scorecard yet.
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.