Chinese AI Models Overview [September 2026]

A permanent overview of major Chinese models — DeepSeek, Qwen (Alibaba), GLM (Zhipu/Z.ai), Kimi (Moonshot), MiniMax, StepFun and more. We prioritize primary sources (official announcements & pricing pages); where official figures are unavailable, third-party reporting/evaluations are clearly attributed. No speculation or rumors. See Pricing Comparison and the DeepSeek guide.

●Last updated: (info retrieved 2026-09-27; Xiaomi MiMo-V2.6 series pricing, modalities and open RL verified and added) | Primary-source links per entry

Why track Chinese AI

Open weights and aggressive pricing give these models outsized reach in both API and self-hosted use.

  • Origin of the "DeepSeek Shock" — DeepSeek R1 (Jan 2025) shipped o1-class reasoning at low cost under an MIT license, resetting industry pricing and release strategy.
  • The open-weight front line — Qwen, GLM, Kimi, MiniMax and DeepSeek have all released flagship-class open models, many under MIT / Apache 2.0-style licenses.
  • Price competitiveness — DeepSeek's peak/off-peak model and low-cost Qwen/GLM flagships can cost a fraction of comparable Western models.
  • Caveats — Self-reported benchmarks can diverge from independent evaluations. Check data-sovereignty, regional and ToS considerations too.

Major labs & flagships

DeepSeek

DeepSeek (深度求索)

China's most prominent lab after the R1 "DeepSeek Shock." Current: V4.1 Flash (released 2026-09-10; 1M context, 384K output, native image input). V4 Flash and Vision Exp were consolidated into V4.1 Flash. V4 Pro keeps running after 9/14 (the 9/14 routing notice was withdrawn). MIT license. Peak/off-peak pricing since 2026-08-16. Guide · What changes · Pricing.

Qwen / Alibaba

Qwen (通义千问 / Alibaba Cloud)

Alibaba's open-weight family. Flagship Qwen3.8-Max (GA 2026-08-03) is a 2.4T-parameter MoE with 1M context. Low-cost Qwen3.8-Flash (2026-08-26) is a 125B/6B active MoE previewing the Qwen4 architecture (open-weight Flash-Next on HF/ModelScope; check each model card for license terms). Qwen3.8-Flash details.

GLM / Zhipu

GLM (Zhipu AI / Z.ai)

Tsinghua-affiliated lab. GLM-5.2 (2026-06-16) is a 744B MoE under MIT; GLM-5.3 (2026-08-14) ships at the same price. GLM-5.3-Flash (2026-08-26) is a 320B/18B MoE, natively multimodal, at list $0.15/$0.50. First foundation-model AI to IPO (Hong Kong, Jan 2026). GLM 5.3 Flash details.

Kimi / Moonshot

Kimi (Moonshot AI / 月之暗面)

Beijing startup. Kimi K3 (2026-07-16) is a 2.8T-parameter model with native vision and a 1M-token context, priced at $3.00 input / $15.00 output, with cached input at $0.30 (Moonshot direct API) — Claude Sonnet territory rather than the budget tier. It is also served through third-party hosts such as OpenRouter, and became available on Amazon Bedrock in September 2026 (AWS blog, 2026-09-18). K2.6 (Apr 2026) is reported to match GPT-5.5 on SWE-bench Pro.

Data handling via Bedrock (Bedrock-wide policy): The Kimi K3 model card itself has no data-handling section (verified 2026-09-25); what applies when you call Kimi K3 through Bedrock is Bedrock-wide policy. AWS's abuse-detection doc states that "Amazon Bedrock uses a zero operator access (ZOA) data security model. This means no operators of the service can access model input or output," and that it "uses a zero data retention (ZDR) data security model. This means that by default, Amazon Bedrock does not store model inputs or outputs." Kimi K3 is not on the list of models that require retention (OpenAI GPT-6 Astra family, Claude Fable 5, etc.). The data protection doc explains that because model providers cannot access the AWS-side Model Deployment Accounts, "they don't have access to Amazon Bedrock logs or to customer prompts and completions," and the AWS FAQ answers that inputs and outputs "are not shared with any model providers" and that neither AWS nor third-party model providers "will not use any inputs to or outputs from Amazon Bedrock to train Amazon Nova, Amazon Titan, or any third-party models." Customer content is encrypted and stored in the AWS Region you are using. Retention policy is configurable at the account or project level per Region; for guaranteed zero retention, set data_retention_mode: none (data retention). Kimi K3 model card / abuse detection (ZOA/ZDR) / data protection / AWS FAQ (verified 2026-09-25)

MiniMax

MiniMax

M3 (May/June 2026) is a multimodal MoE with 1M context. M2.7 open-sourced 2026-04-12. Low-cost, agent-oriented models.

StepFun

StepFun (阶跃星辰)

A Chinese AI startup. Its official documentation splits pricing by model category, and one of those categories is “Multimodal Reasoning Models”, where as of 2026-10-13 it lists step-5-preview ($1.00 / $2.70) and step-3.7-flash ($0.20 / $1.15), with cached input at $0.10 and $0.04 respectively. The wider catalogue spans text-only, vision, speech and image generation — for speech, stepaudio-2.5-realtime ($1.50/$10.00) and step-audio-r1.5 ($1.43/$15.00), among others. See the pricing split.

Xiaomi / MiMo

Xiaomi (小米 / MiMo)

The AI research arm of smartphone maker Xiaomi. The MiMo-V2.6 series (announced 2026-09-22) is pitched as “natively omnimodal” and ships in three variants: MiMo-V2.6-Pro (top capability), MiMo-V2.6-Flash (the intelligence/efficiency/cost balance), and MiMo-V2.6-Pro-UltraSpeed (same quality at up to 20x output speed). Its official model page confirms text, image, video and audio input, text output, and a 1M-token context window. API pricing is unchanged from V2.5: Flash $0.14/$0.28, Pro $0.435/$0.87, Pro-UltraSpeed $4.35/$8.7 (cache-miss input / output). Xiaomi claims MiMo-V2.6-Pro scores 46.32 on the Artificial Analysis Intelligence Index v4.3, “surpassing Kimi K3 and Qwen3.8 Max to become the strongest open-source model to date”. The team works “built in public”: the technical report, training environment and RL code are released, and the production RL run was live-streamed. Pricing table.

Others

ByteDance Doubao / Baidu ERNIE / Tencent Hunyuan

ByteDance's Doubao (豆包) is a leading consumer assistant (closed). Baidu's ERNIE 5.x is omnimodal (only ERNIE 4.5 is open-source). Tencent open-sourced Hunyuan-A13B.

Model pricing & open weights (indicative)

USD per 1M tokens. DeepSeek verified on the Pricing Comparison. Others reflect published figures from official announcements/docs, with third-party reporting/evaluations attributed, as of 2026-08-29 (routers and regions may differ).

ModelProviderInputOutputOpen weightsNotes / source
DeepSeek V4.1 FlashDeepSeek$0.15 / $0.30
(off/peak)
$0.60 / $1.20
(off/peak)
MITCache miss. Released 2026-09-10. Guide
DeepSeek V4 Pro
(live)
DeepSeek$0.66 / $1.32
(off/peak)
$1.98 / $3.96
(off/peak)
MITLive. Continues after 9/14 (routing notice withdrawn). Continuation details
Qwen3.8-MaxAlibaba$2.00$6.00Partial
(text: custom license)
2.4T MoE, 1M ctx. Launch pricing (MarkTechPost report)
Qwen3.8-Flash NewAlibaba$0.15$0.47Open
(Flash-Next)
125B/6B active MoE, 256K→1M ctx, multimodal. Qwen4 preview. Deep dive. Qwen blog
Qwen3.8-27BAlibaba——TBDSmaller self-hostable checkpoint (license: see official model card)
GLM-5.3-Flash NewZhipu (Z.ai)$0.15$0.50MIT320B/18B MoE, 1M ctx. List price (intro promo ended 9/9). Deep dive. z.ai docs
GLM-5.2 / 5.3Zhipu (Z.ai)$1.40$4.40MIT (5.2)5.3 weights not public as of retrieval. z.ai docs
Kimi K2.6Moonshot$0.95$4.00Modified MITReported (Miraflow). Said to match GPT-5.5 on SWE-bench Pro
Kimi K3Moonshot$3.00$15.00Open (2.8T)Released 2026-07-16; among the largest open-weight models. Cached input $0.30 (90% off); cache writes $3.00 (5-min TTL) or $6.00 (1-hour TTL) — all Moonshot direct API pricing; third-party hosts such as Bedrock are priced separately. 1M context, native vision. Always reasons (reasoning_effort=max), so reasoning tokens bill as output. Official pricing (verified 2026-09-25)
MiniMax M3MiniMax$0.30$1.20OpenList $0.60/$2.40 with "permanent 50% off" (Puter/AA)
step-5-preview NewStepFun$1.00$2.70—Listed under the “Multimodal Reasoning Models” category of the official pricing table. Cache hit $0.10. StepFun docs
step-3.7-flashStepFun$0.20$1.15—Lower-cost model in the same category. Cache hit $0.04. StepFun docs
MiMo-V2.6-Pro NewXiaomi$0.435
(cache hit $0.0036)
$0.87Open
(built in public)
Announced 2026-09-22. Natively omnimodal (text/image/video/audio in, text out), 1M context. Pricing unchanged from V2.5; cache writes free for a limited time. Xiaomi claims 46.32 on the AA Intelligence Index v4.3. Xiaomi announcement · Model specs (verified 2026-09-27)
MiMo-V2.6-FlashXiaomi$0.14
(cache hit $0.0028)
$0.28OpenThe balanced model in the family: same 1M context and four input modalities as Pro. Batch API runs at 50% of real-time pricing (official docs). Xiaomi announcement (verified 2026-09-27)
MiMo-V2.6-Pro-UltraSpeedXiaomi$4.35
(cache hit $0.036)
$8.7—An API serving variant of the same Pro weights (up to 20x output speed). It costs 10x the Pro rate on both input and output, so use it selectively. Xiaomi announcement (verified 2026-09-27)
※ "—" = no confidently published unit price as of retrieval. Always confirm exact terms on each vendor's official pricing page (Alibaba Model Studio / Z.ai / MiniMax / DeepSeek, etc.). For cross-vendor comparison, see the Pricing Comparison.

StepFun's pricing split — the “Multimodal Reasoning Models” category

StepFun's documentation divides its price table by model category, and one of those categories is Multimodal Reasoning Models. Prices are USD per 1M tokens, with cached input billed separately (checked 2026-09-23).

ModelInput
(cache miss)
Input
(cache hit)
OutputNote
step-5-preview$1.00$0.10$2.70The higher-end model in this category; cached input is 1/10 of the standard input rate
step-3.7-flash$0.20$0.04$1.15The lower-cost model in this category
※ StepFun's price table also has separate categories for text-only language models, vision models (step-1o-turbo-vision $0.36/$0.07/$1.15), audio models (stepaudio-2.5-realtime $1.50/$0.30/$10.00, stepaudio-2.5-chat $1.50/$0.30/$3.50, step-audio-r1.5 $1.43/$0.29/$15.00 and others), speech recognition (stepaudio-3-asr-max $0.40/hour and others) and image generation/editing (step-2x-large $0.02/image, step-image-edit-2 $0.003/image). The table above extracts the “Multimodal Reasoning Models” category only. Always confirm current pricing on the official StepFun documentation.

DeepSeek in depth

We maintain a hands-on guide for DeepSeek.

Update log

This page is updated continuously; newest entries appear first.

  • 2026-10-13StepFun's official docs changed the cache-hit input price for step-5-preview from $0.05 to $0.10 (cache-miss input $1.00 and output $2.70 unchanged; cache hit is now 1/10 of standard input). Confirmed with two live fetches and corrected the pricing table. DeepSeek (V4.1 Flash / V4 Pro), GLM, Kimi K3 and MAI were re-checked and unchanged.
  • 2026-09-27Added Xiaomi MiMo-V2.6 series. Verified against Xiaomi's announcement page (mimo.xiaomi.com) and official model page (mimo.mi.com): pricing (Pro $0.435/$0.87, Flash $0.14/$0.28, Pro-UltraSpeed $4.35/$8.7; cache hits $0.0036/$0.0028/$0.036), input modalities (text, image, video, audio), text output, 1M context, and the 2026-09-22 announcement date. Pricing is unchanged from V2.5 as stated officially.
  • 2026-09-23Added StepFun (阶跃星辰). Sourced step-5-preview ($1.00/$2.70) and step-3.7-flash ($0.20/$1.15) from the “Multimodal Reasoning Models” category of the official pricing table (platform.stepfun.ai) and added them to the comparison table. DeepSeek pricing re-verified (unchanged).
  • 2026-09-09GLM 5.3 Flash's 50% intro promo ($0.075/$0.25) ended; list price ($0.15/$0.50) now applies. Deep-dive, pricing and calculator updated.
  • 2026-09-01Added Qwen3.8-Flash (Alibaba, released 2026-08-26): $0.15/$0.47 (international), 125B/6B active MoE, 256K→1M context, Qwen4 architecture preview — verified against qwen.ai/blog. New deep-dive page.
  • 2026-08-31Added GLM 5.3 Flash (Z.ai, released 2026-08-26): list $0.15/$0.50 (the 50% intro promo $0.075/$0.25 ended 9/9), 320B/18B MoE, 1M context, MIT — verified against docs.z.ai and the Z.ai blog. New deep-dive page.
  • 2026-09-25Added Kimi K3 pricing, verified on the official pricing page ($3.00 input / $15.00 output / $0.30 cached input, 1M context, native vision), plus its Amazon Bedrock availability (AWS blog, 2026-09-18). Also added Kimi K3 data handling via Bedrock (ZOA/ZDR, not shared with model providers, not used for training — flagged as Bedrock-wide policy, not Kimi-specific).
  • 2026-08-29Page created. Added an overview of DeepSeek, Qwen, GLM, Kimi, MiniMax and other Chinese models, including DeepSeek peak/off-peak pricing and Qwen3.8-Max, GLM-5.x, Kimi K3, MiniMax M3 highlights, verified against primary sources.

⚠️ Disclaimer

  • Pricing and specs prioritize official pages/announcements (with third-party reporting attributed) as of 2026-08-29 and may change without notice. Always check official pages before contracting.
  • Benchmark figures exist in both self-reported and independent forms and may diverge. This page lists only what could be verified.
  • This site is informational only. We are not affiliated with or endorsed by any provider. All trademarks belong to their owners.