Qwen3.8 Flash-Next
- Input
- $0.15/M tok
- Output
- $0.47/M tok
- Blended
- $0.23/M tok · 3:1
- Speed
- 54tok/s
- Context
- 262Ktokens
Open weights (125B total / 6B active); price is the hosted Qwen3.8-Flash.
Rankings
Coding
Mixed#20 / 103rank by quality62.0±5.2quality / 1004/7 benchmarks measuredWriting & chat
Lab-reported#12 / 146rank by quality80.0±9.7quality / 1001/5 benchmarks measuredPrice frontierVision
Mixed#16 / 82rank by quality72.6±5.3quality / 1003/6 benchmarks measuredHard reasoning
Verified#24 / 182rank by quality76.0±3.7quality / 1003/4 benchmarks measuredPrice frontierAgents
Verified#14 / 173rank by quality81.7±5.8quality / 1003/7 benchmarks measuredPrice frontier
Self-hostingEstimated
How we estimate →What it would cost to run these open weights yourself on rented GPUs, compared with the API price above.
- Hardware
- 2× B200 180GB
- FP8 weights
- Throughput
- ~12,519 tok/s
- many requests batched
- Price
- $0.098–0.87 /M tok
- busy → light use
- On your own machine
- Mac Studio M5 Max 128GB (int4, ~140 tok/s single-stream)
- single consumer GPU or Mac
Assumptions (5)
- FP8 weights (180B params, 6B active per token) + 25% KV-cache headroom ≈ 225 GB
- 2× B200 180GB at $5.98–$14.24/GPU-hour on-demand (2026-09-24)
- ~12,519 output tok/s aggregate at batch 358 (bandwidth-bound); MoE compute scales with active params
- Blended 3:1 input:output; prefill ~354,375 tok/s
- Low = 75% utilization at the low GPU price; high = 20% at the high price
Benchmark scores
~ italic, dashed = no published score yet, estimated from related benchmarks.
Coding
SWE-bench VerifiedEstimated
~#3 of 14 (estimated)~82.9%
No published score — estimated from related benchmarks
SWE-bench Pro (Public)Estimated
~#7 of 19 (estimated)~64.7%
- #1Claude Opus 5.589.9%
- #2Claude Sonnet 5.581.3%
- #6Hy4 preview65.7%
- ~#7Qwen3.8 Flash-NextEstimated64.7%
- #7GPT-5.6 Terra63.4%
No published score — estimated from related benchmarks
DeepSWE v1.1Lab-reported
#22 of 3058.7%
- #1DeepSeek V4.1 Flash74.2%
- #2Grok 4.772.6%
- #21GLM-5.361.4%
- #22Qwen3.8 Flash-Next58.7%
- #23Qwen3.8-Omni-Flash57.8%
huggingface.co · 2026-08-26
Terminal-Bench 4.0Verified
#16 of 8325.3%
- #1Claude Sonnet 5.563.6%
- #2Claude Opus 5.559.6%
- #15Grok 4.725.8%
- #16Qwen3.8 Flash-Next25.3%
- #17MiMo-V2.6-Flash22.7%
artificialanalysis.ai · 2026-09-24
SciCodeVerified
#28 of 9550.6%
- #1Claude Opus 5.566.9%
- #2Claude Fable 5.163.1%
- #27DeepSeek V4 Pro (0813)51.0%
- #28Qwen3.8 Flash-Next50.6%
- #29Inkling Small49.7%
artificialanalysis.ai · 2026-09-24
AA Coding Agent IndexEstimated
~#10 of 15 (estimated)~47.7
- #1Claude Opus 5.566.0
- #2Claude Fable 5.162.2
- #9Kimi K351.9
- ~#10Qwen3.8 Flash-NextEstimated47.7
- #10Grok 4.647.0
No published score — estimated from related benchmarks
Not comparable across labs (1)
Kept for reference, not counted in rankings: these use a lab-specific task set, answer key or scoring, so scores can't be compared fairly across labs. Only published scores are shown.
Writing & chat
IFBenchLab-reported
#5 of 12581.3%
- #1MiniMax-M382.9%
- #2Qwen3.8 2.4T A95B82.8%
- #4Nemotron 3 Ultra81.4%
- #5Qwen3.8 Flash-Next81.3%
- #6Intern-S2-Preview (35B-A3B)80.9%
huggingface.co · 2026-08-26
LMArena Text, Non-English (Elo)Estimated
~#15 of 54 (estimated)~1457 Elo
- #1Claude Opus 5.51501
- #2Claude Fable 5.1Few votes1496
- #14GPT-6 AstraFew votes1460
- ~#15Qwen3.8 Flash-NextEstimated1457
- #15GPT-5.6 Terra1456
No published score — estimated from related benchmarks
LMArena Text (Elo)Estimated
~#15 of 54 (estimated)~1468 Elo
- #1Claude Opus 5.51509
- #2Claude Fable 5.11501
- #14GLM-5.3 Flash1475
- ~#15Qwen3.8 Flash-NextEstimated1468
- #15GPT-5.6 Terra1466
No published score — estimated from related benchmarks
EQ-Bench Creative Writing v3 (Elo)Estimated
~#9 of 26 (estimated)~1947 Elo
- #1GPT-6 Astra2173
- #2Claude Fable 5.12162
- #8Grok 4.72007
- ~#9Qwen3.8 Flash-NextEstimated1947
- #9Muse Spark 1.31906
No published score — estimated from related benchmarks
Vision
OmniDocBench v1.5Estimated
~#4 of 8 (estimated)~88.9%
- #1MiniMax-M391.6%
- #2Kimi K391.1%
- #2Qwen3.8 27B91.1%
- ~#4Qwen3.8 Flash-NextEstimated88.9%
- #4Gemini 3.1 Pro85.3%
No published score — estimated from related benchmarks
GDP.pdf (AA)Verified
#18 of 4215.6%
- #1GPT-6 Astra31.0%
- #2Muse Spark 1.326.6%
- #17Qwen3.8 27B16.6%
- #18Qwen3.8 Flash-Next15.6%
- #19GLM-5.3 Flash15.4%
artificialanalysis.ai · 2026-09-24
ChartographyEstimated
~#10 of 23 (estimated)~27.9%
- #1GPT-6 Astra71.0%
- #2Claude Opus 5.566.3%
- #8Qwen3.8 Max (0902)29.1%
- ~#10Qwen3.8 Flash-NextEstimated27.9%
- #10Muse Spark 1.327.6%
No published score — estimated from related benchmarks
Hard reasoning
GPQA DiamondVerified
#16 of 17292.3%
- #1GPT-6 Astra96.1%
- #2Gemini 3.8 Flash95.3%
- #16Hy4 preview92.3%
- #16Qwen3.8 Flash-Next92.3%
- #18GLM-5.391.7%
artificialanalysis.ai · 2026-09-24
Humanity's Last ExamVerified
#29 of 17838.0%
- #1Claude Opus 5.561.4%
- #2Claude Fable 5.159.1%
- #28Grok Build 0.1 061638.3%
- #29Qwen3.8 Flash-Next38.0%
- #30Motif 337.0%
artificialanalysis.ai · 2026-09-24
AIME (latest)Estimated
~#2 of 25 (estimated)~96.7%
No published score — estimated from related benchmarks
Agents
τ²-bench (Telecom)Estimated
~#2 of 116 (estimated)~98.3%
No published score — estimated from related benchmarks
OSWorld-VerifiedEstimated
~#3 of 12 (estimated)~83.6%
No published score — estimated from related benchmarks
OSWorld 2.0Estimated
~#3 of 5 (estimated)~56.6%
No published score — estimated from related benchmarks
BrowseCompEstimated
~#5 of 18 (estimated)~90.4%
- #1Atria Dawn Preview92.5%
- #2GPT-6 Astra91.5%
- #4Claude Opus 590.8%
- ~#5Qwen3.8 Flash-NextEstimated90.4%
- #5Nex-N2.5-Pro89.7%
No published score — estimated from related benchmarks
GDPval-AA (Elo)Verified
#11 of 861612 Elo
- #1Claude Opus 5.51846
- #2Claude Fable 5.11735
- #10Grok 4.61632
- #11Qwen3.8 Flash-Next1612
- #12DeepSeek V4.1 Flash1600
artificialanalysis.ai · 2026-09-24
Not comparable across labs (1)
Kept for reference, not counted in rankings: these use a lab-specific task set, answer key or scoring, so scores can't be compared fairly across labs. Only published scores are shown.