DeepSeek V4.1 Flash vs Hunyuan Hy3

DeepSeek · China  |  Tencent · China · Updated June 2026

Quick verdict

Pick DeepSeek V4.1 Flash for software engineering (deepswe v1.1: 74.2, essentially level with claude opus 5's 74.0) or 1m-token context window at a fraction of frontier pricing ($0.15/$0.60 per million tokens off-peak). 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. On a tight budget at scale, Hunyuan Hy3 is the value pick.

DeepSeek V4.1 Flash (DeepSeek) and Hunyuan Hy3 (Tencent) are two of the models people most often weigh against each other in 2026. DeepSeek V4.1 Flash is deepSeek's September 2026 flash-tier update adds native vision and a 1M-token window to its cost-efficient V4 line, at $0.15/$0.60 per million tokens. Hunyuan Hy3 is a 295B Apache-2.0 open MoE that reaches frontier reasoning quality while running at roughly 21B active-parameter cost. They diverge most on price and context window — each quantified below from the models' real specs.

Key differences at a glance

Side-by-side specs

SpecDeepSeek V4.1 FlashHunyuan Hy3
ProviderDeepSeek (China) Tencent (China)
ReleasedSeptember 10, 2026 July 6, 2026
Context window1.05M tokens (~1,573 pages) 256K (~384 pages)
Price (in/out)$0.15/$0.6 per 1M tokens Open weight (self-host / free)
Open weight?Yes — self-hostable Yes — self-hostable
Modalitiestext, image text, code
SWE-Bench VerifiedNot published Not published
MRCR v2 @ 1MNot published Not published

Who wins what

Software engineering (DeepSWE v1.1: 74.2, essentially level with Claude Opus 5's 74.0)

DeepSeek V4.1 Flash

DeepSeek's September 2026 flash-tier update adds native vision and a 1M-token window to its cost-efficient V4 line, at $0.15/$0.60 per million tokens — and it carries the larger 1.05M tokens context.

1M-token context window at a fraction of frontier pricing ($0.15/$0.60 per million tokens off-peak)

DeepSeek V4.1 Flash

Its 1.05M tokens window holds about 4.1× more than Hunyuan Hy3's 256K in a single prompt.

Native multimodal vision, added over the text-only V4-Flash it replaces on most traffic

DeepSeek V4.1 Flash

DeepSeek's September 2026 flash-tier update adds native vision and a 1M-token window to its cost-efficient V4 line, at $0.15/$0.60 per million tokens — and it is the newer of the two.

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

Hunyuan Hy3

DeepSeek V4.1 Flash is comparatively weak here — the $0.15/$0.60 pricing is an off-peak rate — cost reportedly doubles during peak-demand hours

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

Hunyuan Hy3

DeepSeek V4.1 Flash is comparatively weak here — new Causal Encoder-Decoder architecture (8B active for input, 16B for output) is unproven at broader scale versus DeepSeek's mainline V4/V4-Pro line

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; DeepSeek V4.1 Flash does not.

Lowest cost at scale

Hunyuan Hy3

Its weights are open, so at volume you pay for your own hardware instead of DeepSeek V4.1 Flash's $0.15/$0.6 per 1M tokens.

Largest single-prompt input

DeepSeek V4.1 Flash

Its 1.05M 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 DeepSeek V4.1 Flash, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

DeepSeek V4.1 Flash

Larger 1.05M tokens window fits more in one prompt.

Anyone whose priority is software engineering (deepswe v1.1: 74.2, essentially level with claude opus 5's 74.0)

DeepSeek V4.1 Flash

It is specifically built for that.

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

Hunyuan Hy3

That is its strongest area.

DeepSeek V4.1 Flash: where it fits

DeepSeek's September 2026 flash-tier update adds native vision and a 1M-token window to its cost-efficient V4 line, at $0.15/$0.60 per million tokens. Released September 10, 2026 by DeepSeek, it is built for software engineering (DeepSWE v1.1: 74.2, essentially level with Claude Opus 5's 74.0), 1M-token context window at a fraction of frontier pricing ($0.15/$0.60 per million tokens off-peak), native multimodal vision, added over the text-only V4-Flash it replaces on most traffic, and mIT-licensed open weights, self-hostable.

Its trade-offs are real: the $0.15/$0.60 pricing is an off-peak rate — cost reportedly doubles during peak-demand hours, new Causal Encoder-Decoder architecture (8B active for input, 16B for output) is unproven at broader scale versus DeepSeek's mainline V4/V4-Pro line, and positioned as a cost/speed tier, not a frontier-reasoning flagship — DeepSeek kept V4-Pro running in parallel rather than replacing it outright. At $0.15 in / $0.6 out per million tokens, it sits in the budget price band.

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: 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.

The bottom line for this matchup

DeepSeek V4.1 Flash and Hunyuan Hy3 overlap enough that the right pick depends on your specific job. Hunyuan Hy3 costs less per token; DeepSeek V4.1 Flash holds the larger context; and each leads in its own area — DeepSeek V4.1 Flash for software engineering (deepswe v1.1: 74.2, essentially level with claude opus 5's 74.0), Hunyuan Hy3 for frontier-level reported reasoning and science (gpqa diamond 90.4) at low active-parameter cost. Rather than crowning one, run the same hard task through both once and let the results decide.

Want both DeepSeek V4.1 Flash and Hunyuan Hy3 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 DeepSeek V4.1 Flash or Hunyuan Hy3 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, DeepSeek V4.1 Flash leans toward software engineering (deepswe v1.1: 74.2, essentially level with claude opus 5's 74.0) while Hunyuan Hy3 leans toward frontier-level reported reasoning and science (gpqa diamond 90.4) at low active-parameter cost, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, DeepSeek V4.1 Flash or Hunyuan Hy3?

Hunyuan Hy3 is cheaper — $0.15/$0.6 per 1M tokens vs Open weight (self-host / free).

Which has the bigger context window?

DeepSeek V4.1 Flash — 1.05M 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 DeepSeek V4.1 Flash and Hunyuan Hy3 together?

Yes — a multi-model platform like LumiChats gives you DeepSeek V4.1 Flash, Hunyuan Hy3 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, DeepSeek V4.1 Flash or Hunyuan Hy3?

DeepSeek V4.1 Flash — released September 10, 2026, about 2 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.