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QwenQwen3.8 Flash

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Qwen3.8-Flash is a low-latency multimodal model with a 1M-token context window and OpenAI- and Anthropic-compatible APIs.

Token context
1,000K tokens
Inputs
Text, Image, Video
Outputs
Text
Released
Not reported

Benchmark Market Position

Intelligence, Cost, and Efficiency

All rankings →

Intelligence

Rank #15 of 57

  1. 100.0*Claude Opus 5.5
  2. 99.0Claude Fable 5.1
  3. 90.9*GPT-5.5 Pro
  4. 90.0Gemini 3.8 Flash
  5. 85.9GPT-6.1 Sol
  6. 84.6GPT-6 Astra
  7. 83.4*Qwen3.8 Max
  8. 83.3*DeepSeek V4.1 Flash
  9. 82.1Gemini 3.1 Pro
  10. 77.3GPT-5.6 Terra
  11. 74.0*Grok 4.7
  12. 73.5*ERNIE 5.1
  13. 73.3Kimi K3
  14. 71.9*GLM 5.3
  15. 67.5*Qwen3.8 Flash
  16. 64.3*Grok 4.20 Multi Agent
  17. 63.3*Qwen3.7 Plus
  18. 63.1*Claude Sonnet 5
  19. 57.9*DeepSeek V4 Pro
  20. 56.2*GLM 5.3 Flash
  21. 54.6*Mistral Large 4
  22. 54.3*Gemma 4 31B
  23. 52.2Qwen3.8 27B
  24. 50.5*Qwen3.5 397B A17B
  25. 50.1*Hy3
  26. 47.4*Gemma 4 26B A4B
  27. 47.4Inkling
  28. 43.0*Mistral Large 3
  29. 42.3GPT-6 Luna
  30. 37.8*NVIDIA Nemotron 3 Ultra 550B A55B BF16
  31. 35.2*Inkling Small
  32. 33.9*MiniMax M3
  33. 27.0*Kimi K2.7 Code
  34. 25.1*Grok Build 0.1
  35. 20.8GPT-5.4 Mini
  36. 17.8Gemini 3.5 Flash Lite
  37. 17.2*Qwen3.5 35B A3B
  38. 15.7GPT-5.4 Nano
  39. 12.8*Muse Glimmer 30B
  40. 11.7*Solar Pro 4
  41. 9.3*Claude Haiku 4.5
  42. 0.4*DeepSeek R1
  43. 0.0*Olmo 3 32B Think
  44. 0.0*Nova 2 Lite
  45. 0.0*Command A
  46. 0.0*Granite 4.2 30B
  47. 0.0*Granite 4.2 3B
  48. 0.0*Granite 4.2 8B
  49. 0.0*Llama 4 Maverick 17B 128E Instruct
  50. 0.0*Llama 4 Scout 17B 16E Instruct
  51. 0.0*phi-4
  52. 0.0*NVIDIA Nemotron 3 Nano 30B A3B BF16
  53. 0.0*NVIDIA Nemotron 3.5 Lightning 30B A3B
  54. 0.0*GPT-4o
  55. 0.0*GPT-4o Mini
  56. 0.0*gpt-oss-120b
  57. 0.0*gpt-oss-20b
* Provisional: fewer than 3 sources
View full ranking →

Cost

Rank #5 of 27

  1. $0.0020Grok Build 0.1
  2. $0.0087GLM 5.3 Flash
  3. $0.017MiniMax M3
  4. $0.018GPT-6 Luna
  5. $0.021Qwen3.8 Flash
  6. $0.022DeepSeek V4.1 Flash
  7. $0.029Gemini 3.5 Flash Lite
  8. $0.044Kimi K2.7 Code
  9. $0.054Mistral Large 4
  10. $0.054DeepSeek V4 Pro
  11. $0.058GPT-5.4 Nano
  12. $0.063Qwen3.8 27B
  13. $0.090Inkling
  14. $0.092NVIDIA Nemotron 3 Ultra 550B A55B BF16
  15. $0.104GPT-6.1 Sol
  16. $0.107Qwen3.8 Max
  17. $0.160Gemini 3.8 Flash
  18. $0.161Gemini 3.1 Pro
  19. $0.163Kimi K3
  20. $0.194Claude Sonnet 5
  21. $0.214GPT-5.4 Mini
  22. $0.248GLM 5.3
  23. $0.266GPT-5.6 Terra
  24. $0.341Grok 4.7
  25. $0.512Claude Opus 5.5
  26. $0.520GPT-6 Astra
  27. $0.824Claude Fable 5.1
View full ranking →

Efficiency

Rank #3 of 27

  1. 71.7*DeepSeek V4.1 Flash
  2. 65.8*GLM 5.3 Flash
  3. 64.2*Qwen3.8 Flash
  4. 62.5*Grok Build 0.1
  5. 60.1GPT-6.1 Sol
  6. 58.6*Qwen3.8 Max
  7. 58.5Gemini 3.8 Flash
  8. 54.6Gemini 3.1 Pro
  9. 53.9*Claude Opus 5.5
  10. 52.8GPT-6 Luna
  11. 51.5*DeepSeek V4 Pro
  12. 50.1Kimi K3
  13. 49.9*Mistral Large 4
  14. 49.5Claude Fable 5.1
  15. 49.0*MiniMax M3
  16. 48.0GPT-5.6 Terra
  17. 47.3Qwen3.8 27B
  18. 46.1GPT-6 Astra
  19. 45.9*GLM 5.3
  20. 44.3*Grok 4.7
  21. 43.5*Claude Sonnet 5
  22. 42.0Inkling
  23. 37.8*Kimi K2.7 Code
  24. 37.1*NVIDIA Nemotron 3 Ultra 550B A55B BF16
  25. 36.6Gemini 3.5 Flash Lite
  26. 29.9GPT-5.4 Nano
  27. 21.6GPT-5.4 Mini
* Provisional: fewer than 3 sources
View full ranking →

The orange outline marks Qwen3.8 Flash. Each available panel preserves its real rank and value; missing benchmark or pricing inputs remain explicitly unranked.

Providers & Pricing

Estimate workload cost →
ProviderInput / 1MOutput / 1MCache read / 1MCache write / 1MObservedEvidence
$0.80$2.70$0.10—Aug 29, 2026Provider-reported
$0.113$0.382$0.0141—Oct 19, 2026Provider-reported
$0.15$0.47$0.016—Oct 19, 2026Provider-reported

Benchmarks

All benchmark results →
LiveBench2026-06-25-90f8d44da96579.12percent54,4381,270qwen3.8-flash-nextaverage per caseRecomputedwinner eligibleThird-party benchmark
ToneBench2026-10-17-10-task-e9c76358afb275.30points31,59050Qwen3.8 Flash (thinking on)average per caseOriginal sourcenot winner eligibleThird-party benchmark

At a Glance

Model Facts

Identity

Status
active
Developer ID
qwen3.8-flash
Released
Not reported
Version
Qwen3.8-Flash
License
Unknown

Capacity

Token context
1,000K tokens
Maximum output
131K tokens
Total parameters
Unknown
Active parameters
Unknown
Knowledge cutoff
Not reported

Interface and Access

Inputs
Text, Image, Video
Outputs
Text
API available
Yes
Open weights
No
Self-hostable
No
Reasoning
Yes
Vision
Yes
Tool calling
Yes
Capabilities
agents, chat, computer-use, reasoning, structured outputs, tools, vision

This page represents one developer model product. Dated API snapshots, serving endpoints, pricing, regions, quantizations, and service tiers attach as versioned aliases or provider details and never create duplicate public model records.

Version Lineage

PredecessorUnknown
SuccessorsUnknown
Aliasesqwen3.8-flash, qwen3.8-flash-next, Qwen3.8 Flash Next

Explicit Unknowns

  • Release date
  • Architecture
  • Tokenizer
  • Knowledge cutoff

Primary Evidence

Sources and Observation Date

qwen3.8-flash Model Info | Alibaba Cloud Model StudioQwen · observed Aug 29, 2026qwen3.8-flash API pricing | Alibaba Cloud Model StudioAlibaba Cloud Model Studio · observed Sep 3, 2026Deepinfra catalogDeepinfra · observed Oct 19, 2026Openrouter catalogOpenrouter · observed Oct 19, 2026Together Ai catalogTogether Ai · observed Oct 19, 2026

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Questions

Qwen3.8 Flash FAQs

What is Qwen3.8 Flash?+

Qwen3.8-Flash is a low-latency multimodal model with a 1M-token context window and OpenAI- and Anthropic-compatible APIs. It is developed by Qwen and its current sourced lifecycle status is active.

What inputs and outputs does Qwen3.8 Flash support?+

Qwen3.8 Flash's current record lists Text, Image, and Video as input and Text as output.

How much context does Qwen3.8 Flash support?+

The current record lists a 1,000K-token context window and a maximum output of 131K tokens.

Is Qwen3.8 Flash available through an API?+

Qwen3.8 Flash is marked as API-available. The directly sourced provider records currently include Alibaba Cloud Model Studio, Deepinfra, Openrouter, and Together Ai.

How much does Qwen3.8 Flash cost through an API?+

The lowest directly sourced prices currently attached to Qwen3.8 Flash are $0.113 per million input tokens through Deepinfra and $0.382 per million output tokens through Deepinfra. Prices are provider-specific and should be checked against each cited observation date.

What capabilities and tasks does Qwen3.8 Flash support?+

Qwen3.8 Flash's recorded capabilities are agents, chat, computer-use, reasoning, structured outputs, tools, and vision. Its supported tasks are coding, computer-use, image, reasoning, text, and video.

Can Qwen3.8 Flash be self-hosted?+

Qwen3.8 Flash is not marked as an open-weight model. Self-hosting is marked as unsupported, with no license recorded.

Does Qwen3.8 Flash have related versions or aliases?+

No predecessor is recorded. No successor is recorded. Recorded aliases are qwen3.8-flash, qwen3.8-flash-next, and Qwen3.8 Flash Next.

Which models can Qwen3.8 Flash be compared with?+

The current compatible peer set includes Qwen3.8 Max, Gemini 3.8 Flash, Gemini 3.8 Flash Cyber, GPT-6 Luna, and GLM 5.3 Flash. Compatibility requires shared sourced modalities and tasks; it does not imply that one model is better. Browse model comparisons →

How current is the Model Markets record for Qwen3.8 Flash?+

Qwen3.8 Flash was last verified Aug 29, 2026 from Qwen's primary source, “qwen3.8-flash Model Info | Alibaba Cloud Model Studio.” The evidence is classified as official fact.

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