DeepSeek (V4 Pro / Flash) alternatives, 2026.Q3: every real option, ranked

The short answer

Edition v2026.Q3 · pricing and status verified 2026-08-06.

Kimi (K3 / K2.6) is the strongest DeepSeek (V4 Pro / Flash) alternative for most — the strongest open-weight model available — peak capability via hosts (Together, Fireworks, OpenRouter), not your own racks. Then: Qwen (3.6 / 3.8-Max) · GLM (5.2) · Mistral (Mistral 3 family). Below, all 23 real options in the open weights category, with pricing and honest watch-outs — plus the 6 "alternatives" other lists still recommend that are dead, renamed, or sunsetting.

Why people look past DeepSeek (V4 Pro / Flash) at all: Raw intelligence trails Kimi K3 and GLM-5.2 (V4 Pro scores 44 on AA's index vs K3's 57); text-only, no vision. Hosted API is China-jurisdiction with new 2x peak-hour pricing — regulated teams should self-host or use US hosts. 1.6T params makes DIY serving a multi-node project.

The top DeepSeek (V4 Pro / Flash) alternatives, ranked

1. 2Kimi (K3 / K2.6)Moonshot AI

   Weights free (Modified MIT) · K3 API $3/M in, $15/M out, cache $0.30 · K2.6 $0.95/$4.00

   Best for The strongest open-weight model available — peak capability via hosts (Together, Fireworks, OpenRouter), not your own racks.

   Watch Self-hosting is theater for most: 1.39TB of INT4 weights, Moonshot recommends 64+ accelerators — ~96.5% of a DGX B200's memory before cache. API is the priciest of the Chinese trio. Modified MIT adds an attribution clause above 100M MAU / $20M-month revenue.

   AA Intelligence Index 57 — top open-weight, #3 overall (Jul 2026) [src] · 2.8T MoE (16-of-896 experts), weights released Jul 26, 2026; 1.13M HF downloads by Aug 2026 [src]

2. 3Qwen (3.6 / 3.8-Max)Alibaba

   Weights free (Apache 2.0 for most) · hosted 3.8-Max $2/M in, $6/M out, cached $0.25 · small models pennies via any host

   Best for One family for everything — edge to 2.4T frontier — with the largest fine-tune/derivative ecosystem in open AI.

   Watch Flagship weights trail the hosted launch — 3.8-Max weights were 'next week' at announcement and the very best Plus/Max variants have historically stayed API-only. Coding trails the leaders (67.7 SWE-bench Pro vs Claude Fable 5's 80.0). Alibaba hasn't disclosed 3.8-Max active-parameter count.

   942.1M cumulative downloads; 36.32% of HF text-gen sample downloads — #1 family (ATOM, Jul 2026) [src] · Qwen3.8-Max: 2.4T MoE, 1M context, 86.6 Terminal-Bench 2.1, $2/$6 API (Aug 3, 2026) [src]

3. 4GLM (5.2)Z.ai (Zhipu)

   Weights free (MIT) · API $1.40/M in, $4.40/M out, cache $0.26 · free tiers (GLM-4.7-Flash) · budget FlashX $0.07/M in

   Best for The self-hostable frontier coding agent — 744B fits on ~8x H200 at FP8, and it's the fastest of the big three at ~168 tok/s.

   Watch Trails K3 on raw capability (matched-harness DeepSWE: 46.2 vs K3's 67.5). Text-only. Hosted API carries China data-residency risk flagged by US coverage; GLM-5.5 is expected around Aug 2026, so buying decisions may be obsolete within a quarter.

   GLM-5.2 $1.40/$4.40 per M tokens on Z.ai API (verified Aug 2026) [src] · 744B/40B-active, MIT, ~168 tok/s, ~8x H200 at FP8 to self-host (Jul 2026) [src]

4. 5Mistral (Mistral 3 family)Mistral AI

   Weights free (Apache 2.0: Large 3, Ministral 3, Small 4, Nemo) · API: Small 4 $0.15/$0.60 · Large 3 ~$2/$6 · Medium 3.5 (closed) $1.50/$7.50

   Best for EU-jurisdiction open weights with a real company behind them — the procurement-safe answer when Chinese weights are a non-starter.

   Watch The capability gap is real: its best open scores sit well below the Chinese trio (Medium 3.5, its strongest, is closed and scores 30 on AA vs K3's 57). Its true frontier (Medium 3.5, OCR, Voxtral tiers) stays API-only — the open/closed line moves release by release.

   Mistral 3: Large 3 675B/41B + Ministral 3 (14B/8B/3B), all Apache 2.0 (Dec 2, 2025) [src] · New open-weight frontier model in early access Jul 2026, targeting the gap to closed leaders [src]

Every other live option in open weights

The "DeepSeek (V4 Pro / Flash) alternatives" to avoid — no longer what they were

Listicles still recommend these. As of 2026-08-06, they are not what the listicles think.

How to choose

If you're burning real money on closed-model API calls for high-volume or agentic workloads

DeepSeek V4 — $0.04 blended per task and an 8x average open-vs-closed inference gap (MIT Sloan: $0.23 vs $1.86/M tokens) is the whole argument for this element.

If you want maximum open capability and will consume it via hosts anyway

Kimi K3 on Together, Fireworks or OpenRouter — AA 57, #3 overall — and skip the fantasy of racking 64 accelerators yourself.

If privacy, compliance, or data residency forces weights inside your walls

GLM-5.2 (frontier coding agent on ~8x H200), or a Qwen 3.6 / Gemma 4 size that matches your hardware — not K3 or V4 Pro, which are multi-node projects.

If eU jurisdiction, procurement, or 'no Chinese weights' policy constrains you

Mistral's Apache-2.0 stack (Large 3 down to Ministral 3B) — accepting a real capability gap vs the Chinese trio — with gpt-oss/Gemma 4 as US-origin small options.

If you plan to fine-tune, distill, or ship models inside your product

Prefer clean Apache 2.0/MIT (Qwen, DeepSeek, GLM, Mistral, Gemma 4) over conditioned licenses — Llama's 700M-MAU-and-EU-restricted community license and Kimi's attribution clause are fine until the day they aren't.

This analysis is drawn from the Open Weights element dossier — the ranked top 5, the comparison matrix, and the complete field of 25 more tools live there, with every source. Data: ow.json (CC BY 4.0).