AI · alternatives · 2026

24 alternatives to MiMo-V2-Flash
Ultra-fast 309B MoE model for coding & agents
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.
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MiMo-V2.5 Voice▲115Bilingual ASR for dialects, code-switching, and songs
Apr 2026 · mimo.mi.com · its alternatives →
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Step 3.7 Flash▲183Flash-speed agents model that can see and act
May 2026 · static.stepfun.com · its alternatives →
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Qwen3.8-Flash-Nextfree tier▲108The open-weight preview of Qwen4
Aug 2026 · qwen.ai · its alternatives →
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- 7MP
Aug 2026 · deepgrove.ai · its alternatives →
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Qwen3.6-35B-A3B▲124The open sparse MoE model for agentic coding
Apr 2026 · qwen.ai · its alternatives →
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Lightning V3▲311Add AI Voice & Chat Agents directly to your website.
Apr 2026 · smallest.ai · its alternatives →
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How small can a language model be while still doing something useful? I wanted to find out, and had some spare time over the holidays. Z80-μLM is a character-level language model with 2-bit quantized weights ({-2,-1,0,+1}) that runs on a Z80 with 64KB RAM. The entire thing: inference, weights, chat UI, it all fits in a 40KB .COM file that you can run in a CP/M emulator and hopefully even real hardware! It won't write your emails, but it can be trained to play a stripped down version of 20 Questions, and is sometimes able to maintain the illusion of having simple but terse conversations…
Dec 2025 · github.com · its alternatives →
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MiMo-Audio▲10Audio language models are few-shot learners
2025 · xiaomimimo.github.io · its alternatives →
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Luke from ElevenLabs here. We just released Scribe Realtime v2, our new real-time Speech to Text model. We rebuilt it from the ground up around a new architecture that uses predictive transcription – it anticipates the next likely word before it’s spoken. That makes it both fast (around 150 ms latency) and highly accurate. Scribe v2 Realtime outperforms every low latency transcription model across 30 commonly used EU and Asian languages – 93.5% accuracy, compared to Gemini 2.5 Flash (91.4%), GPT-4o MiniTranscribe (90.7%), and Deepgram Nova 3 (85%). It supports 90+ languages including…
2025 · elevenlabs.io · its alternatives →
- 15

Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
Aug 2026 · cactuscompute.com · its alternatives →
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
May 2026 · github.com · its alternatives →
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Ollama v0.19▲410Massive local model speedup on Apple Silicon with MLX
Apr 2026 · ollama.com · its alternatives →
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Powers faster, efficient reasoning for long-running agents
Jun 2026 · developer.nvidia.com · its alternatives →
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Mimo for Web▲148Learn to code on your phone and your computer 📱💻
2018 · mimo.org · its alternatives →
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Enhanced reasoning model from google
2025 · deepmind.google · its alternatives →
- 24

The most expressive Text to Speech model ever
2025 · elevenlabs.io · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →