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Best Open-Source LLMs in 2026 (Self-Host or Use via API)

The best open-weight LLMs in 2026 for self-hosting, cheap hosted inference or local development: Llama 4, DeepSeek V4, Qwen 3.x, Devstral 2 and Mistral Large 3, GLM 4.7 and Kimi K2.6.

RecentPricing last verified: Sep 12, 2026Source: Model registry + editorial review
Llama 4 Maverick is the best open-source LLM for most teams in 2026: hosted at $0.20 in / $0.70 out per 1M tokens with a 1M context, open weights for self-hosting, and broad provider support. Runner-up is DeepSeek V4 Pro at $0.66 in / $1.98 out per 1M tokens, the strongest open-weight model for reasoning and coding, with DeepSeek V4 Flash at $0.05 in / $0.16 out per 1M tokens for volume. Qwen3 Coder, Devstral 2 and Mistral Large 3, GLM 4.7 and Kimi K2.6 cover coding, EU hosting, cheap tool calls and long agent runs. Open weights now make sense for zero marginal cost on your own GPUs, data that cannot leave your network, and freedom from vendor pricing at scale.

Default recommendation

Llama 4 Maverick via a hosted API at $0.20 in / $0.70 out per 1M tokens is the best starting point for most developers; DeepSeek V4 Pro is the strongest open-weight model for reasoning and coding; Qwen3 Coder 480B is the pick for code-only workloads.

Best Overall

Llama 4 Maverick

Meta's flagship open-weight model: 1M context, wide hosting, and $0.20 in / $0.70 out per 1M tokens through OpenRouter. Llama 4 Scout ($0.10 in / $0.30 out per 1M tokens) is the lighter option with a 1.3M context.

Top Picks

1

Llama 4 Maverick

Best General Open-Weight LLM

Meta

Meta's flagship open-weight model: 1M context, wide hosting, and $0.20 in / $0.70 out per 1M tokens through OpenRouter. Llama 4 Scout ($0.10 in / $0.30 out per 1M tokens) is the lighter option with a 1.3M context.

$0 self-hosted / ≈ $0.34/month at 1M input + 200K output tokens hosted

Calculate your cost with Llama 4 Maverick →
2

DeepSeek V4 Pro

Best Open-Weight for Reasoning & Coding

DeepSeek

$0.66 in / $1.98 out per 1M tokens hosted, 1M context. Frontier-competitive coding and reasoning under an open licence; V4 Flash at $0.05 in / $0.16 out per 1M tokens is the same family for high-volume steps.

$0 self-hosted / ≈ $1.06/month at 1M input + 200K output tokens hosted

Try DeepSeek V4 Pro →
3

Qwen3 Coder 480B

Best for Coding & Multilingual

Alibaba

$0.30 in / $1 out per 1M tokens hosted, 256K context. Purpose-built for agentic coding, and the wider Qwen 3.x family is the strongest open-weight choice for non-English and multilingual products.

$0 self-hosted / ≈ $0.50/month at 1M input + 200K output tokens hosted

Calculate your cost with Qwen3 Coder 480B →
4

Devstral 2 / Mistral Large 3

Best EU Open-Weight Models

Mistral AI

Devstral 2 ($0.40 in / $2 out per 1M tokens) for coding agents and Mistral Large 3 ($0.50 in / $1.50 out per 1M tokens) for general work, both EU-based, open-weight and GDPR-friendly. Best for European teams needing open-source compliance.

$0 self-hosted / ≈ $0.80/month at 1M input + 200K output tokens hosted

Try Devstral 2 / Mistral Large 3 →
5

GLM 4.7 / GLM 4.7 Flash

Cheapest Open-Weight Tool Calls

Z Ai

GLM 4.7 at $0.40 in / $1.75 out per 1M tokens and GLM 4.7 Flash at $0.06 in / $0.40 out per 1M tokens, 200K context. Flash is the cheapest hosted open model that returns reliable function calls, so it is the budget tier for agent loops.

$0 self-hosted / ≈ $0.75/month at 1M input + 200K output tokens hosted

Calculate your cost with GLM 4.7 / GLM 4.7 Flash →
6

Kimi K2.6

Best for Long Agent Runs

Moonshotai

$0.95 in / $4 out per 1M tokens hosted, 256K context. Strong on multi-step agentic tasks and tool use; pricier than the other open models here but still well below closed frontier rates.

$0 self-hosted / ≈ $1.75/month at 1M input + 200K output tokens hosted

Calculate your cost with Kimi K2.6 →

Frequently Asked Questions

What hardware do I need to run open-source LLMs?

Maverick, DeepSeek V4 Pro and Qwen3 Coder 480B are large mixture-of-experts models that need a multi-GPU server; Llama 4 Scout and GLM 4.7 Flash are the lighter options. Renting inference through OpenRouter or a GPU cloud is cheaper than owning hardware unless utilisation is very high.

Are open-source LLMs as good as GPT-5.5 or Claude Opus 5?

The best open-weight models (DeepSeek V4 Pro, Llama 4 Maverick, Qwen 3.8) are competitive on many tasks, and the gap has narrowed through 2025 and 2026. Closed frontier models still lead on the hardest reasoning and on multimodal work.

Can I use open-source LLMs in commercial products?

Mostly yes, with licence-specific limits. Llama's community licence restricts very large companies; several Mistral, Qwen and DeepSeek releases use permissive licences. Read the licence on the exact model card before shipping.

Which open model is cheapest for agent tool calls?

GLM 4.7 Flash ($0.06 in / $0.40 out per 1M tokens) and DeepSeek V4 Flash ($0.05 in / $0.16 out per 1M tokens) are the floor; Llama 4 Scout ($0.10 in / $0.30 out per 1M tokens) is next. Route planning to DeepSeek V4 Pro or Qwen3 Coder and the repetitive steps to a Flash-class model.

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