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Model Pareto

Qwen3.8-Omni-Flash

Alibaba QwenProprietaryqwen.ai ↗
Compare with nearest rivalsCompare with…
Input
$0.15/M tok
Output
$0.47/M tok
Blended
$0.23/M tok · 3:1
Speed
~54tok/sest.
Context
1Mtokens

API-only native omnimodal model (text/image/audio/video in, text out). Not yet on Artificial Analysis (no speed).

Rankings

Benchmark scores

~ italic, dashed = no published score yet, estimated from related benchmarks.

Coding

SWE-bench VerifiedEstimated
~#5 of 14 (estimated)~80.3%
  1. #1Claude Opus 596.0%
  2. #2Claude Sonnet 585.2%
  3. #4MiniMax-M380.5%
  4. ~#5Qwen3.8-Omni-FlashEstimated80.3%
  5. #5Hy378.0%
No published score — estimated from related benchmarks
SWE-bench Pro (Public)Estimated
~#6 of 19 (estimated)~66.0%
  1. #1Claude Opus 5.589.9%
  2. #2Claude Sonnet 5.581.3%
  3. #5Intern-S2-397B68.5%
  4. ~#6Qwen3.8-Omni-FlashEstimated66.0%
  5. #6Hy4 preview65.7%
No published score — estimated from related benchmarks
SciCodeEstimated
~#21 of 96 (estimated)~53.0%
  1. #1Claude Opus 5.566.9%
  2. #2Claude Fable 5.163.1%
  3. #20Grok 4.653.0%
  4. ~#21Qwen3.8-Omni-FlashEstimated53.0%
  5. #21GPT-5.5 Instant (June 2026)52.5%
No published score — estimated from related benchmarks
AA Coding Agent IndexEstimated
~#10 of 15 (estimated)~49.7
  1. #1Claude Opus 5.566.0
  2. #2Claude Fable 5.162.2
  3. #9Kimi K351.9
  4. ~#10Qwen3.8-Omni-FlashEstimated49.7
  5. #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

MMMLUEstimated
~#2 of 5 (estimated)~90.9%
  1. #1Gemini 3.1 Pro92.6%
  2. ~#2Qwen3.8-Omni-FlashEstimated90.9%
  3. #2Gemma 4 31B88.4%
No published score — estimated from related benchmarks
LMArena Text, Non-English (Elo)Estimated
~#16 of 54 (estimated)~1452 Elo
  1. #1Claude Opus 5.51501
  2. #2Claude Fable 5.1Few votes1496
  3. #15GPT-5.6 Terra1456
  4. ~#16Qwen3.8-Omni-FlashEstimated1452
  5. #16DeepSeek V4 Pro (0813)1448
No published score — estimated from related benchmarks
LMArena Text (Elo)Estimated
~#16 of 54 (estimated)~1464 Elo
  1. #1Claude Opus 5.51509
  2. #2Claude Fable 5.11501
  3. #15GPT-5.6 Terra1466
  4. ~#16Qwen3.8-Omni-FlashEstimated1464
  5. #16DeepSeek V4 Pro (0813)1463
No published score — estimated from related benchmarks
EQ-Bench Creative Writing v3 (Elo)Estimated
~#9 of 26 (estimated)~1941 Elo
  1. #1GPT-6 Astra2173
  2. #2Claude Fable 5.12162
  3. #8Grok 4.72007
  4. ~#9Qwen3.8-Omni-FlashEstimated1941
  5. #9Muse Spark 1.31906
No published score — estimated from related benchmarks

Vision

MMMUEstimated
~#2 of 3 (estimated)~71.3%
  1. #1Claude Haiku 4.573.2%
  2. ~#2Qwen3.8-Omni-FlashEstimated71.3%
  3. #2Llama 4 Maverick69.4%
No published score — estimated from related benchmarks
MMMU-ProEstimated
~#3 of 77 (estimated)~86.5%
  1. #1Claude Opus 5.587.7%
  2. #2GPT-6 Astra86.9%
  3. ~#3Qwen3.8-Omni-FlashEstimated86.5%
  4. #3Gemini 3.8 Flash85.6%
No published score — estimated from related benchmarks
OmniDocBench v1.5Estimated
~#4 of 8 (estimated)~90.0%
  1. #1MiniMax-M391.6%
  2. #2Kimi K391.1%
  3. #2Qwen3.8 27B91.1%
  4. ~#4Qwen3.8-Omni-FlashEstimated90.0%
  5. #4Gemini 3.1 Pro85.3%
No published score — estimated from related benchmarks
GDP.pdf (AA)Estimated
~#12 of 43 (estimated)~20.5%
  1. #1GPT-6 Astra31.0%
  2. #2Muse Spark 1.326.6%
  3. #11Gemini 3.8 Flash21.0%
  4. ~#12Qwen3.8-Omni-FlashEstimated20.5%
  5. #12GPT-6 Luna20.4%
No published score — estimated from related benchmarks
ChartographyEstimated
~#7 of 23 (estimated)~33.0%
  1. #1GPT-6 Astra71.0%
  2. #2Claude Opus 5.566.3%
  3. #6GPT-5.6 Terra34.0%
  4. ~#7Qwen3.8-Omni-FlashEstimated33.0%
  5. #7GPT-5.531.0%
No published score — estimated from related benchmarks

Hard reasoning

AIME (latest)Estimated
~#2 of 25 (estimated)~96.5%
  1. #1Inkling97.1%
  2. ~#2Qwen3.8-Omni-FlashEstimated96.5%
  3. #2Muse Glimmer94.7%
No published score — estimated from related benchmarks