Hunyuan Hy3 vs Qwen3.8 Max Prime

Tencent · China  |  Alibaba · China · Updated June 2026

Quick verdict

Pick Hunyuan Hy3 for frontier-level reported reasoning and science (gpqa diamond 90.4) at low active-parameter cost or runs a 295b model at the cost of a 21b — only 21b parameters active per token. Pick Qwen3.8 Max Prime for same 2.4t-parameter moe architecture and full capability set as qwen3.8 max, repackaged for higher-throughput serving or alibaba advertises 1.5-2x higher output throughput than standard qwen3.8 max for latency-sensitive workloads. Choose Hunyuan Hy3 if you need self-hosting or data privacy; Qwen3.8 Max Prime if you want a managed API.

Hunyuan Hy3 (Tencent) and Qwen3.8 Max Prime (Alibaba) are two of the models people most often weigh against each other in 2026. Hunyuan Hy3 is a 295B Apache-2.0 open MoE that reaches frontier reasoning quality while running at roughly 21B active-parameter cost. Qwen3.8 Max Prime is alibaba's September 23, 2026 high-throughput variant of Qwen3.8 Max — identical 2.4T-parameter architecture at double the price, with throughput gains public testing hasn't yet confirmed. They diverge most on price, context window and open vs. closed weights — each quantified below from the models' real specs.

Key differences at a glance

Side-by-side specs

SpecHunyuan Hy3Qwen3.8 Max Prime
ProviderTencent (China) Alibaba (China)
ReleasedJuly 6, 2026 September 23, 2026
Context window256K (~384 pages) 1M tokens (~1,573 pages)
Price (in/out)Open weight (self-host / free) $4/$12 per 1M tokens
Open weight?Yes — self-hostable No — API only
Modalitiestext, code text, image, video, code
SWE-Bench VerifiedNot published Not published
MRCR v2 @ 1MNot published Not published

Who wins what

Frontier-level reported reasoning and science (GPQA Diamond 90.4) at low active-parameter cost

Hunyuan Hy3

A 295B Apache-2.0 open MoE that reaches frontier reasoning quality while running at roughly 21B active-parameter cost — and its weights are open while Qwen3.8 Max Prime is API-only.

Runs a 295B model at the cost of a 21B — only 21B parameters active per token

Hunyuan Hy3

Qwen3.8 Max Prime is comparatively weak here — no official Alibaba announcement — Alibaba Cloud's Model Studio documentation still lists only qwen3.8-max and its September 2 snapshot, suggesting minimal official backing

Clean, unrestricted Apache-2.0 license with no geographic carve-out

Hunyuan Hy3

Hunyuan Hy3 lists clean, unrestricted Apache-2.0 license with no geographic carve-out among its strengths; Qwen3.8 Max Prime does not.

Same 2.4T-parameter MoE architecture and full capability set as Qwen3.8 Max, repackaged for higher-throughput serving

Qwen3.8 Max Prime

Alibaba's September 23, 2026 high-throughput variant of Qwen3.8 Max — identical 2.4T-parameter architecture at double the price, with throughput gains public testing hasn't yet confirmed — and it carries the larger 1M tokens context.

Alibaba advertises 1.5-2x higher output throughput than standard Qwen3.8 Max for latency-sensitive workloads

Qwen3.8 Max Prime

Alibaba's September 23, 2026 high-throughput variant of Qwen3.8 Max — identical 2.4T-parameter architecture at double the price, with throughput gains public testing hasn't yet confirmed — and it is the newer of the two.

1M-token context window with up to 131,072 output tokens, reasoning enabled by default

Qwen3.8 Max Prime

Its 1M tokens window holds about 4.1× more than Hunyuan Hy3's 256K in a single prompt.

Lowest cost at scale

Hunyuan Hy3

Its weights are open, so at volume you pay for your own hardware instead of Qwen3.8 Max Prime's $4/$12 per 1M tokens.

Largest single-prompt input

Qwen3.8 Max Prime

Its 1M tokens window is about 4.1× larger than Hunyuan Hy3's 256K, fitting roughly 1,573 pages in one prompt.

Which should you pick?

A cost-sensitive startup shipping high volume

→ Hunyuan Hy3

At Open weight (self-host / free) it undercuts Qwen3.8 Max Prime, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

→ Qwen3.8 Max Prime

Larger 1M tokens window fits more in one prompt.

A team with data-privacy or self-hosting needs

→ Hunyuan Hy3

Open weights let you run it on your own hardware; Qwen3.8 Max Prime is API-only.

Anyone whose priority is frontier-level reported reasoning and science (gpqa diamond 90.4) at low active-parameter cost

→ Hunyuan Hy3

It is specifically built for that.

Anyone whose priority is same 2.4t-parameter moe architecture and full capability set as qwen3.8 max, repackaged for higher-throughput serving

→ Qwen3.8 Max Prime

That is its strongest area.

Hunyuan Hy3: where it fits

A 295B Apache-2.0 open MoE that reaches frontier reasoning quality while running at roughly 21B active-parameter cost. Released July 6, 2026 by Tencent, it is built for frontier-level reported reasoning and science (GPQA Diamond 90.4) at low active-parameter cost, runs a 295B model at the cost of a 21B — only 21B parameters active per token, clean, unrestricted Apache-2.0 license with no geographic carve-out, and broad day-one ecosystem support plus an FP8 checkpoint.

Its trade-offs are real: benchmarks are largely self-reported, and the ultra-low hosted pricing is a limited promotion, and the hosted API is China-jurisdiction, and self-hosting a 295B MoE still needs serious hardware. As an open-weight model, its running cost is your own hardware rather than a per-token fee.

Qwen3.8 Max Prime: where it fits

Alibaba's September 23, 2026 high-throughput variant of Qwen3.8 Max — identical 2.4T-parameter architecture at double the price, with throughput gains public testing hasn't yet confirmed. Released September 23, 2026 by Alibaba, it is built for same 2.4T-parameter MoE architecture and full capability set as Qwen3.8 Max, repackaged for higher-throughput serving, alibaba advertises 1.5-2x higher output throughput than standard Qwen3.8 Max for latency-sensitive workloads, 1M-token context window with up to 131,072 output tokens, reasoning enabled by default, and accepts text, image, and video input alongside text output, inherited unchanged from the base model.

Its trade-offs: priced exactly double standard Qwen3.8 Max ($4/$12 vs $2/$6) for a throughput claim the only public measurements available don't show as measurably faster, no official Alibaba announcement — Alibaba Cloud's Model Studio documentation still lists only qwen3.8-max and its September 2 snapshot, suggesting minimal official backing, like the base model, open weights have been promised but not shipped — closed API only, and purely a speed tier, not a capability upgrade — same benchmark ceiling as the cheaper base model. At $4 in / $12 out per million tokens, it sits in the mid price band.

The bottom line for this matchup

The defining split here is open vs. closed. Hunyuan Hy3 gives you weights you control — self-host it, fine-tune it, keep data in-house, pay only for hardware. Qwen3.8 Max Prime gives you a managed, always-updated API with no infrastructure to run. Teams with GPUs, privacy requirements, or huge volume often favour the open model; teams that want zero ops and the latest capabilities favour the closed one. Capability is close enough that this operational question, not the benchmark, usually decides it.

Want both Hunyuan Hy3 and Qwen3.8 Max Prime without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.

See pricing

Frequently asked questions

Is Hunyuan Hy3 or Qwen3.8 Max Prime better for coding?

Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Hunyuan Hy3 leans toward frontier-level reported reasoning and science (gpqa diamond 90.4) at low active-parameter cost while Qwen3.8 Max Prime leans toward same 2.4t-parameter moe architecture and full capability set as qwen3.8 max, repackaged for higher-throughput serving, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, Hunyuan Hy3 or Qwen3.8 Max Prime?

Hunyuan Hy3 is open-weight, so self-hosting means no per-token fee (you pay for hardware instead), while Qwen3.8 Max Prime is API-metered at $4/$12 per 1M tokens. For most teams without GPUs, the API model is cheaper to start; at very high volume, self-hosting can win.

Which has the bigger context window?

Qwen3.8 Max Prime — 1M tokens vs 256K, about 4.1× larger. Useful only if the model actually reasons over the full window, which not all do.

Can I use both Hunyuan Hy3 and Qwen3.8 Max Prime together?

Yes — a multi-model platform like LumiChats gives you Hunyuan Hy3, Qwen3.8 Max Prime and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.

Which is newer, Hunyuan Hy3 or Qwen3.8 Max Prime?

Qwen3.8 Max Prime — released September 23, 2026, about 3 months after Hunyuan Hy3.

Related comparisons

Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.