What is the best open-source AI model in 2026?

DeepSeek-V4-Pro is the best overall open-source model with a 1467 Arena ELO, 80.6% SWE-bench Verified (best among open models), and MIT license. For budget, DeepSeek-V4-Flash at $0.14/$0.28 per 1M tokens offers 95% of the capability at a fraction of the cost.

Is Llama 4 better than DeepSeek V4?

No, DeepSeek-V4-Pro significantly outperforms Llama 4 Maverick on benchmarks. DeepSeek-V4-Pro has Arena ELO 1467 vs Llama 4's 1292, and 80.6% SWE-bench Verified. Llama 4's strength is its 1M token context and Meta's ecosystem, but on pure capability it's in a lower tier.

What is the best free/open-source small model?

Phi-4 by Microsoft (14B parameters, MIT license) is the best small open-source model for its size at 1222 Arena ELO and 71.4 MMLU-Pro. Gemma 3 27B offers strong performance at 1356 ELO with free self-hosting. Gemma 4 31B punches far above its weight at 1449 ELO.

Which open-source model is best for coding?

DeepSeek-V4-Pro is the best open-source model for coding with 80.6% on SWE-bench Verified and 93.5 on LiveCodeBench. For budget, DeepSeek-V4-Flash at 79.0% SWE-bench costs just $0.14/$0.28 per 1M tokens.

Best Open-Source AI Models 2026

#1

DeepSeek-V4-Pro

★★★★★

9.4/10

Best for: Coding, reasoning, overall capability 1.6T MoE MIT 1M context

DeepSeek-V4-Pro is the top-ranked open-source model at 1467 Arena ELO, the highest among open-weight models. Leads in coding with 80.6% SWE-bench Verified and 93.5 LiveCodeBench. Strong reasoning at GPQA Diamond 90.1%. MIT license, 1M token context, and competitive API pricing at $1.74/$0.87 per 1M tokens.

Arena ELO: 1467 openlm.ai SWE-bench: 80.6% Onyx LLM GPQA Diamond: 90.1% Price: $1.74 / $0.87 per 1M

Get Config → Dev Agent Toolkit $19

#2

Qwen 3.5-397B-A17B

★★★★★

8.9/10

Best for: Knowledge & MMLU-Pro leader 397B (17B active) Apache 2.0 Alibaba

Qwen 3.5-397B-A17B by Alibaba scores 1450 Arena ELO with the highest MMLU-Pro among open models at 87.8%. Its efficient MoE architecture uses only 17B active parameters out of 397B total, which is remarkably efficient. Apache 2.0 license. Strong general knowledge and reasoning capabilities. Linear attention mechanism for long-context performance.

Arena ELO: 1450 openlm.ai MMLU-Pro: 87.8% Arena+ Active params: 17B (of 397B) Price: $0.39 / $2.45 per 1M

Get Config → Workflow Playbook $27

#3

Gemma 4 31B

★★★★★

8.8/10

Best for: Performance per parameter 31B dense Apache 2.0 Google

Gemma 4 31B by Google punches far above its weight class. At just 31B dense parameters, it scores 1449 Arena ELO, competitive with models 10x its size. Apache 2.0 license, 262K context. Remarkable efficiency: 85.2 MMLU-Pro. Available at $0.13/$0.38 per 1M tokens. The best value dense model in 2026.

Arena ELO: 1449 openlm.ai Params: 31B (dense) MMLU-Pro: 85.2% Price: $0.13 / $0.38 per 1M

Get Config → Dev Agent Toolkit $19

#4

Mistral Large 3

★★★★☆

8.4/10

Best for: European AI leader, multilingual 675B MoE Apache 2.0 Mistral AI

Mistral Large 3 is Mistral AI's flagship open-weight model at 1428 Arena ELO. 675B MoE architecture with Apache 2.0 license and 256K context. Strong on multilingual tasks and reasoning (81.0 MMLU-Pro). European AI leader with a focus on developer-friendly APIs. Available through La Platforme and multiple cloud providers.

Arena ELO: 1428 openlm.ai Params: 675B MoE MMLU-Pro: 81.0% License: Apache 2.0

Get Config → Workflow Playbook $27

#5

DeepSeek-V4-Flash

★★★★☆

8.3/10

Best for: Budget coding & reasoning 284B MoE MIT $0.14/M input

DeepSeek-V4-Flash is the distilled version of V4-Pro at 1445 Arena ELO, only 22 points behind the Pro variant. Costs just $0.14/$0.28 per 1M tokens, roughly 10x cheaper than V4-Pro while maintaining 98% of its benchmark performance. 79.0% SWE-bench Verified, 91.6 LiveCodeBench. MIT license, 1M context. Insane value.

Arena ELO: 1445 openlm.ai SWE-bench: 79.0% Onyx LLM Params: 284B MoE Price: $0.14 / $0.28 per 1M

Get Config → Dev Agent Toolkit $19

#6

Llama 4 Maverick

★★★★☆

7.8/10

Best for: Meta ecosystem & long context 400B (17B active) Llama 4 license 1M context

Llama 4 Maverick is Meta's flagship open-weight model at 1292 Arena ELO. 400B total parameters with 17B active (128 experts). Despite lower raw benchmarks, Llama models have the widest self-hosting ecosystem and community support. 1M token context, 80.9 MMLU-Pro. Strong choice if you're in the Meta/PyTorch ecosystem.

Arena ELO: 1292 openlm.ai Params: 400B (17B active, 128E) MMLU-Pro: 80.9% Context: 1M tokens

Get Config → Workflow Playbook $27

#7

Gemma 3 27B

★★★★☆

7.5/10

Best for: Self-hosted free model 27B dense Gemma license Free self-host

Gemma 3 27B by Google is a solid mid-tier open model at 1356 Arena ELO. HumanEval 87.8% coding pass rate, impressive for a 27B model. Completely free for self-hosting under the Gemma license. Good entry point for teams wanting to run their own model without API costs. Superseded by Gemma 4 for higher performance.

Arena ELO: 1356 openlm.ai HumanEval: 87.8% Params: 27B dense Price: Free (self-hosted)

Get Config → Dev Agent Toolkit $19

#8

Phi-4 (Microsoft)

★★★★☆

7.2/10

Best for: Small on-device models 14B dense MIT Free self-host

Phi-4 by Microsoft is the best small open-source model at just 14B parameters. Scores 1222 Arena ELO with 71.4 MMLU-Pro, impressive density. MIT license, free to self-host and modify. Runs on consumer hardware. Great for on-device applications, fine-tuning experiments, and cost-sensitive deployments where model size matters.

Arena ELO: 1222 openlm.ai MMLU-Pro: 71.4% Params: 14B dense License: MIT

Get Config → Workflow Playbook $27

Best Open-Source AI Models Ranked (2026)

📐 Scoring Methodology

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