vs
0:2
overall capability wins (0 ties across 2 scored). Qwen3.8 Flash Next leads overall.
- Pricing3:0
- Speed2:0
- Specs0:2
Verdict
Qwen3.8 Flash Next offers ~2.0x larger context (262K vs 131K); Qwen3.8 Flash Next allows ~16.0x more max output (131K vs 8K); Qwen2.5 14B Instruct is ~2.3x cheaper on a blended token basis than Qwen3.8 Flash Next.
- Qwen3.8 Flash Next offers ~2.0x larger context (262K vs 131K)
- Qwen3.8 Flash Next allows ~16.0x more max output (131K vs 8K)
- Qwen2.5 14B Instruct is ~2.3x cheaper on a blended token basis than Qwen3.8 Flash Next
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Qwen2.5 14B Instruct
- $0.13
- Qwen3.8 Flash Next
- $0.27
Qwen2.5 14B Instruct is about 2.1x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Alibaba
Alibaba
Family
Qwen
Qwen
License
Apache 2.0
Qwen Community License 1.0
Open weights
Yes
Yes
Release
Sep 19, 2024
Aug 26, 2026
Knowledge cutoff
-
-
API / provider
Together / Fireworks (ref.)
Alibaba (QwenCloud)
Modalities
text → text
text, image, video → text
Specs
Context window
131K
262K
Max output
8K
131K
Parameters
14B
—
Pricing
Input $/1M
$0.10
$0.15
Output $/1M
$0.10
$0.47
Blended $/1M (3∶1)
$0.10
$0.23
Speed
tok/s
100
77.3
TTFT (s)
0.25
2.79
Reasoning
MMLU-Pro
63.7
—
GPQA Diamond
—
92.3
Humanity's Last Exam
—
38.0
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
—
24.5
AA-LCR v1.1
—
79.7
CritPt
—
11.1
MMMU-Pro
—
79.8
IFBench
—
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
42.6
—
Terminal-Bench 2.1
—
86.1
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
39.8
—
SciCode
—
50.6
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
1,635
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
—
| Metric | Qwen2.5 14B Instruct | Qwen3.8 Flash Next | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Alibaba | Alibaba | — |
| Family | Qwen | Qwen | — |
| License | Apache 2.0 | Qwen Community License 1.0 | — |
| Open weights | Yes | Yes | — |
| Release | Sep 19, 2024 | Aug 26, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Together / Fireworks (ref.) | Alibaba (QwenCloud) | — |
| Modalities | text → text | text, image, video → text | — |
| Specs | |||
| Context window | 131K | 262K | B +131K |
| Max output | 8K | 131K | B +123K |
| Parameters | 14B | — | — |
| Pricing | |||
| Input $/1M | $0.10 | $0.15 | A +$0.05 |
| Output $/1M | $0.10 | $0.47 | A +$0.37 |
| Blended $/1M (3∶1) | $0.10 | $0.23 | A +$0.13 |
| Speed | |||
| tok/s | 100 | 77.3 | A +23 |
| TTFT (s) | 0.25 | 2.79 | A +2.54 |
| Reasoning | |||
| MMLU-Pro | 63.7 | — | — |
| GPQA Diamond | — | 92.3 | — |
| Humanity's Last Exam | — | 38.0 | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | — | 24.5 | — |
| AA-LCR v1.1 | — | 79.7 | — |
| CritPt | — | 11.1 | — |
| MMMU-Pro | — | 79.8 | — |
| IFBench | — | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | 42.6 | — | — |
| Terminal-Bench 2.1 | — | 86.1 | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | 39.8 | — | — |
| SciCode | — | 50.6 | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | 1,635 | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | — | — |
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.
Qwen3.8 Flash Next
- Context
- 262K / 131K out
- Parameters
- —
- Price
- $0.15 / $0.47
- Speed
- 77.3 tok/s · 2.79s TTFT
- Modalities
- text, image, video → text
- License
- Qwen Community License 1.0
Open-weight sparse-MoE Flash tier (6B active) previewing the Qwen4 architecture, released Aug 26, 2026 — 262K native context extensible to ~1M with YaRN, tuned for cost efficiency at $0.15/$0.47 per 1M (cache-hit $0.016). Reported total parameter count varies by source (~125-180B). Benchmark figures are Alibaba's self-reported launch numbers (SWE-bench Pro 62.5, HLE 35.9); Artificial Analysis places it at 56 on its Intelligence Index.
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.