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Compare AI models

Side-by-side comparisons of the open models on kryyt — context windows, pricing, licenses, and what each one is best at. All callable from one API.

Full roster

ModelAPI IDContextPricingLicenseStatus
DeepSeek V4.1 Flashdeepseek-v4.1-flash1MSee account pricingMITLive
DeepSeek V4.1 Prodeepseek-v4.1-pro1MSee account pricingMITSoon
GLM-5.3glm-5.3200KSee account pricingMITSoon
GLM-5.3 Flashglm-5.3-flash1MSee account pricingMITSoon
GLM-5.2glm-5.21MSee account pricingMITSoon
Kimi K3kimi-k31MSee account pricingOpen weights (custom)Soon
Qwen3.8-Maxqwen3.8-max1MSee account pricingApache 2.0 / QwenSoon
Qwen3.8-27Bqwen3.8-27b262KSee account pricingApache 2.0 / QwenSoon
Qwen3.8-Flashqwen3.8-flash256KSee account pricingApache 2.0 / QwenSoon
MiniMax M3minimax-m31MSee account pricingMiniMax CommunitySoon
MiniMax M2.5minimax-m2.5204KSee account pricingMiniMax CommunitySoon

deepseek-v4.1-flash

Model
DeepSeek V4.1 Flash
Context
1M
Pricing
See account pricing
License
MIT
Status
Live

deepseek-v4.1-pro

Model
DeepSeek V4.1 Pro
Context
1M
Pricing
See account pricing
License
MIT
Status
Soon

glm-5.3

Model
GLM-5.3
Context
200K
Pricing
See account pricing
License
MIT
Status
Soon

glm-5.3-flash

Model
GLM-5.3 Flash
Context
1M
Pricing
See account pricing
License
MIT
Status
Soon

glm-5.2

Model
GLM-5.2
Context
1M
Pricing
See account pricing
License
MIT
Status
Soon

kimi-k3

Model
Kimi K3
Context
1M
Pricing
See account pricing
License
Open weights (custom)
Status
Soon

qwen3.8-max

Model
Qwen3.8-Max
Context
1M
Pricing
See account pricing
License
Apache 2.0 / Qwen
Status
Soon

qwen3.8-27b

Model
Qwen3.8-27B
Context
262K
Pricing
See account pricing
License
Apache 2.0 / Qwen
Status
Soon

qwen3.8-flash

Model
Qwen3.8-Flash
Context
256K
Pricing
See account pricing
License
Apache 2.0 / Qwen
Status
Soon

minimax-m3

Model
MiniMax M3
Context
1M
Pricing
See account pricing
License
MiniMax Community
Status
Soon

minimax-m2.5

Model
MiniMax M2.5
Context
204K
Pricing
See account pricing
License
MiniMax Community
Status
Soon

How the models compare on benchmarks

Two of the most widely reported evals across all five labs — agentic coding and graduate-level science. Full results on the benchmarks page.

Terminal-Bench 2.1 — agentic coding in real terminal environments
ModelScore (%)
DeepSeek V4.1 FlashDeepSeek · live on kryyt
90.6
Kimi K3Moonshot AI
88.3
GLM-5.3Z.ai (Zhipu)
88.2
Qwen3.8-MaxAlibaba Cloud
86.6
GLM-5.3 FlashZ.ai (Zhipu)
84.3
MiniMax M3MiniMax
66.0

Sources: DeepSeek-V4.1-Flash model card (NVIDIA) (opens in new tab); Moonshot AI Kimi K3 model card (opens in new tab); GLM-5.3 benchmarks (MindStudio, citing Z.ai) (opens in new tab); Qwen 3.8 benchmarks (Apidog, citing Alibaba) (opens in new tab); GLM-5.3-Flash benchmarks (DataCamp, citing Z.ai) (opens in new tab); MiniMax M3 launch coverage (VentureBeat) (opens in new tab).

GPQA Diamond — graduate-level science reasoning
ModelScore (%)
Kimi K3Moonshot AI
93.5
Qwen3.8-MaxAlibaba Cloud
92.6
DeepSeek V4.1 FlashDeepSeek · live on kryyt
90.9

Sources: Moonshot AI Kimi K3 model card (opens in new tab); Qwen3.8-Max benchmarks (DataCamp, citing Alibaba) (opens in new tab); DeepSeek-V4.1-Flash model card (NVIDIA) (opens in new tab).

Terminal-Bench 2.1 score by model release date (2026)

Terminal-Bench 2.1 score by model release date (2026)Terminal-Bench 2.1 (%) — MiniMax M3 (Jun 1): 66.0; GLM-5.2 (Jun 13): 81.0; Kimi K3 (Jul 16): 88.3; Qwen3.8-Max (Aug 3): 86.6; GLM-5.3 (Aug 14): 88.2; DeepSeek V4.1 Flash (Sep 10): 90.65060708090100Terminal-Bench 2.1 (%)66.0MiniMax M3Jun 181.0GLM-5.2Jun 1388.3Kimi K3Jul 1686.6Qwen3.8-MaxAug 388.2GLM-5.3Aug 1490.6DeepSeek V4.1 FlashSep 10
Terminal-Bench 2.1 score by model release date (2026). Sources: MiniMax M3 launch coverage (VentureBeat) (opens in new tab); Z.ai GLM-5 series repository (opens in new tab); Moonshot AI Kimi K3 model card (opens in new tab); Qwen 3.8 benchmarks (Apidog, citing Alibaba) (opens in new tab); GLM-5.3 benchmarks (MindStudio, citing Z.ai) (opens in new tab); DeepSeek-V4.1-Flash model card (NVIDIA) (opens in new tab).
View chart data as a table
ModelReleasedTerminal-Bench 2.1 (%)
MiniMax M3Jun 166.0
GLM-5.2Jun 1381.0
Kimi K3Jul 1688.3
Qwen3.8-MaxAug 386.6
GLM-5.3Aug 1488.2
DeepSeek V4.1 FlashSep 1090.6

Scores are vendor-reported unless marked independent, as of September 2026. Labs use different agent harnesses, reasoning settings, and benchmark versions, so treat cross-lab gaps of a few points as roughly equal and test on your own workload.

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