DeepSeek V4-Pro wins on price ($0.435 vs $2/1M input). For most workflows, Qwen 3.8 Max is the stronger default — best chinese flagship — beats gpt-5.6 sol on coding, #2 globally for vision.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
Qwen 3.8 Max is the safest overall answer here when you want the strongest default instead of the lowest list price.
Mistral: Mistral Nemo is the lower-cost option to start with when you still need useful output at scale.
DeepSeek V4-Pro is the better pick when response speed matters more than maximum reasoning depth.
Qwen 3.8 Max leads on coding with a score of 93 vs 93 for DeepSeek V4-Pro.
DeepSeek V4-Pro is cheaper at $0.435/1M input tokens vs $2/1M for Qwen 3.8 Max.
Qwen 3.8 Max is the stronger default for coding tasks.
Choose Qwen 3.8 Max for coding and multimodal — multimodal and vision-heavy workloads at scale.
Choose DeepSeek V4-Pro when frontier-level coding and reasoning on a budget.
DeepSeek V4-Pro is the more cost-efficient option at $0.435/1M — worth considering if token volume is a concern.
Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
Alibaba / Balanced / Aug 6, 2026
Best Chinese flagship — beats GPT-5.6 Sol on coding, #2 globally for vision.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need independently verified benchmarks or Western data residency.
The fastest way to see where the recommendation shifts when your priority changes.
Best Chinese flagship — beats GPT-5.6 Sol on coding, #2 globally for vision.
Best open-weights flagship — near-frontier coding at a tenth of the price.
SWE-bench Pro 67.7 — ahead of GPT-5.6 Sol and close to Claude Opus 4.8
#2 globally on Arena.AI vision (behind only a Claude Fable 5 variant); #1 Chinese model for text
First Alibaba open-weights release at this scale — 2.4T MoE at $2/$6 per 1M
Well behind Claude Fable 5 on SWE-bench Pro (67.7 vs 80.0) and behind several Anthropic models on text rankings
No independent third-party benchmarks at GA — early claims are largely Alibaba-reported
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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Qwen 3.8 Max wins on more categories — coding, multimodal, reasoning. DeepSeek V4-Pro is the better pick when frontier-level coding and reasoning on a budget. The right choice depends on your specific use case.
DeepSeek V4-Pro is cheaper at $0.435/1M input and $0.87/1M output. Qwen 3.8 Max costs $2/1M input and $6/1M output.
Both Qwen 3.8 Max and DeepSeek V4-Pro have the same 1M context window.
Qwen 3.8 Max and DeepSeek V4-Pro are similarly matched on coding. Claude Fable 5 is the overall coding leader in this directory at 100/100.
Both Qwen 3.8 Max and DeepSeek V4-Pro have similar speed profiles — rated balanced.