Evidence-bounded answer hub · Updated July 21, 2026

Best AI model 2026: what the evidence actually supports.

According to LMArena's snapshot published July 16, 2026, the highest-rated organization leader is Anthropic's Claude Fable 5 at 1507.5 (reported 95% interval 1500.2 to 1514.7, 8,817 battles). That is one source's conversational-preference measurement, not an overall best-model award.

By use case

Five direct answers, each bounded by its source.

Every verdict below names its source and date. Where the evidence stops, the answer says so instead of guessing.

Overall conversational rating

In that same snapshot, the leader's reported 95% interval (1500.2 to 1514.7) overlaps the runner-up Muse Spark 1.1's (1484.9 to 1501.3), so even this one source does not separate first from second place decisively.

See the full leaderboard with intervals and battle counts →

Coding

According to the Epoch AI model catalog (retrieved July 21, 2026), 75 reviewed records explicitly list code generation as a task: MiniMax-M2.1, GLM-4.7, Claude Opus 4.5, Olmo 3, Grok 4.1 Fast, Grok 4.1, Kimi K2 Thinking, MiniMax-M2, Claude Haiku 4.5, Claude Sonnet 4.5, AgentFounder-30B, Qwen3-Max, Claude Opus 4.1, Gemini 2.5 Deep Think, Qwen3-235B-A22B (Jul 2025), Qwen3-235B-A22B-Thinking (Jul 2025), Qwen3-Coder-480B-A35B, Kimi K2, Grok 4 Heavy, Gemini 2.5 Pro (Jun 2025), DeepSeek-R1 (May 2025), Claude Opus 4, Claude Sonnet 4, Gemini 2.5 Pro (May 2025), Qwen3-235B-A22B, Llama 4 Behemoth (preview), Llama 4 Maverick, Llama 4 Scout, Gemini 2.5 Pro (Mar 2025), DeepSeek-V3 (Mar 2025), o1-pro, ERNIE-4.5-VL-424B-A47B (文心大模型4.5), Hunyuan-TurboS, QwQ-32B, GPT-4.5, Claude 3.7 Sonnet, Grok 3, o3-mini, Kimi k1.5, DeepSeek-R1, DeepSeek-V3, o3, Gemini 2.0 Pro, Llama 3.3 70B, o1, Amazon Nova Pro, Hunyuan-Large, NVLM-D 72B, NVLM-H 72B, NVLM-X 72B, Qwen2.5 Instruct (72B), o1-mini, o1-preview, DeepSeek-V2.5, Grok-2, Mistral Large 2, Llama 3.1-405B, GPT-4o mini, Claude 3.5 Sonnet, DeepSeek-Coder-V2 236B, GLM-4 (0520), Llama 3-70B, Claude 3 Opus, Claude 3 Sonnet, Qwen1.5-72B, FunSearch, Qwen-72B, Nemotron-3-8B, Yi-34B, ChatGLM3-6B, CODEFUSION (Python), Amazon Titan, LLaMA-65B, PaLM (540B), and AlphaCode. That catalog does not measure coding quality, so no coding winner can be named from this evidence.

A task label establishes relevance, not performance. Run representative repository tasks for correctness, tool use, latency, and cost before choosing.

Open the coding shortlist guide →

Reasoning and research

According to the Epoch AI model catalog (retrieved July 21, 2026), 61 reviewed records explicitly name reasoning, proof, or search tasks: DeepSeekMath-V2, Claude Opus 4.5, Grok 4.1 Fast, Grok 4.1, Kimi K2 Thinking, Tongyi DeepResearch, MiniMax-M2, Claude Sonnet 4.5, Gemini Robotics-ER 1.5, AgentFounder-30B, Qwen3-Max, Claude Opus 4.1, Gemini 2.5 Deep Think, Qwen3-235B-A22B (Jul 2025), Qwen3-235B-A22B-Thinking (Jul 2025), Kimi K2, Grok 4 Heavy, Grok 4, Gemini 2.5 Pro (Jun 2025), DeepSeek-R1 (May 2025), Claude Opus 4, Claude Sonnet 4, Gemini 2.5 Pro (May 2025), Qwen3-235B-A22B, Llama 4 Behemoth (preview), Gemini 2.5 Pro (Mar 2025), DeepSeek-V3 (Mar 2025), o1-pro, ERNIE-4.5-VL-424B-A47B (文心大模型4.5), Hunyuan-TurboS, QwQ-32B, GPT-4.5, Claude 3.7 Sonnet, o3-mini, Kimi k1.5, DeepSeek-R1, DeepSeek-V3, o3, o1, Pixtral Large, k0-math, NVLM-D 72B, NVLM-H 72B, NVLM-X 72B, Qwen2.5 Instruct (72B), Qwen2.5-72B, Qwen2.5-32B, o1-mini, o1-preview, Llama 3.1-405B, Mathstral, GLM-4 (0520), Qwen1.5-72B, Mixtral 8x7B, Galactica, Flan-PaLM 540B, U-PaLM (540B), Minerva (540B), Statement Curriculum Learning, MEB, and RankNet. The catalog records task scope only and supports no reasoning ranking.

Distinguish quantitative reasoning from theorem and proof work using the explicit task labels, then verify accuracy and calibration on your own workload.

Open the reasoning and research guide →

Multimodal

According to the Epoch AI model catalog (retrieved July 21, 2026), 192 reviewed records list a multimodal, vision, image, or audio domain. Domain membership maps capability coverage; it does not prove quality on any media type, so no multimodal winner exists in this evidence.

Image understanding, image generation, OCR, and audio are different jobs. Test the exact media path your workflow needs.

Open the multimodal capability map →

Cost

No cost verdict is possible from the approved evidence: the Epoch AI catalog (retrieved July 21, 2026) does not include pricing, and Model Gauntlet publishes no cheapest or best-value ranking without dated first-party price artifacts.

A defensible cost comparison needs current provider pricing with effective dates, units, tiers, and cache or batch discounts, none of which this catalog reports.

Open the cost evaluation framework →

Why no single best

The evidence does not crown one model.

Start at the top of the one ranking source we publish: in the LMArena snapshot published July 16, 2026, first-place Claude Fable 5 and second-place Muse Spark 1.1 carry reported 95% intervals that share common ground, which means the snapshot's own error bars leave the top spot unsettled.

The two approved evidence streams measure different things. LMArena's snapshot records conversational preference for exact model IDs on one date. The Epoch AI catalog (retrieved July 21, 2026, CC-BY) documents what 23 reviewed models are for, who released them, and how they are accessed, without performance, price, context window, or latency measurements. Neither stream, alone or combined, supports a universal winner, so Model Gauntlet does not declare one.

Evidence boundary: this page reports named sources with their publication dates and stops where they stop. It contains no composite score, no estimated numbers, and no recommendation beyond evidence-bounded screening. Commercial relationships never change these conclusions.

Go deeper

Compare the evidence yourself.

Head-to-head pages

Purpose guides

Data surfaces

Best-model questions

Direct answers with their sources attached.

What is the best AI model in 2026?

No single measurement supports one answer. According to LMArena's snapshot published July 16, 2026, Anthropic's Claude Fable 5 holds the highest rating among tracked organization leaders at 1507.5, but that is one conversational-preference source, and its reported interval overlaps the runner-up's. Task-specific evidence lives in the purpose guides.

What is the best AI model for coding in 2026?

The approved evidence names candidates, not a winner. According to the Epoch AI catalog (retrieved July 21, 2026), 75 reviewed records explicitly list code generation: MiniMax-M2.1, GLM-4.7, Claude Opus 4.5, Olmo 3, Grok 4.1 Fast, Grok 4.1, Kimi K2 Thinking, MiniMax-M2, Claude Haiku 4.5, Claude Sonnet 4.5, AgentFounder-30B, Qwen3-Max, Claude Opus 4.1, Gemini 2.5 Deep Think, Qwen3-235B-A22B (Jul 2025), Qwen3-235B-A22B-Thinking (Jul 2025), Qwen3-Coder-480B-A35B, Kimi K2, Grok 4 Heavy, Gemini 2.5 Pro (Jun 2025), DeepSeek-R1 (May 2025), Claude Opus 4, Claude Sonnet 4, Gemini 2.5 Pro (May 2025), Qwen3-235B-A22B, Llama 4 Behemoth (preview), Llama 4 Maverick, Llama 4 Scout, Gemini 2.5 Pro (Mar 2025), DeepSeek-V3 (Mar 2025), o1-pro, ERNIE-4.5-VL-424B-A47B (文心大模型4.5), Hunyuan-TurboS, QwQ-32B, GPT-4.5, Claude 3.7 Sonnet, Grok 3, o3-mini, Kimi k1.5, DeepSeek-R1, DeepSeek-V3, o3, Gemini 2.0 Pro, Llama 3.3 70B, o1, Amazon Nova Pro, Hunyuan-Large, NVLM-D 72B, NVLM-H 72B, NVLM-X 72B, Qwen2.5 Instruct (72B), o1-mini, o1-preview, DeepSeek-V2.5, Grok-2, Mistral Large 2, Llama 3.1-405B, GPT-4o mini, Claude 3.5 Sonnet, DeepSeek-Coder-V2 236B, GLM-4 (0520), Llama 3-70B, Claude 3 Opus, Claude 3 Sonnet, Qwen1.5-72B, FunSearch, Qwen-72B, Nemotron-3-8B, Yi-34B, ChatGLM3-6B, CODEFUSION (Python), Amazon Titan, LLaMA-65B, PaLM (540B), and AlphaCode. The catalog does not measure coding quality.

Which AI model is cheapest?

Unknown from this evidence. The Epoch AI catalog (retrieved July 21, 2026) records access type but no pricing, so Model Gauntlet publishes no cost ranking. Use current first-party price pages with effective dates for any cost decision.

Why does Model Gauntlet not publish one combined ranking?

Because the approved sources do not support one. The current leaderboard reports a single LMArena rating published July 16, 2026; the Epoch catalog documents release facts without performance measurements. Blending them into a composite would manufacture precision the evidence does not contain.

Sources: LMArena leaderboard dataset, published 2026-07-16, CC-BY-4.0 · Epoch AI Data on AI Models, retrieved 2026-07-21, CC-BY. Missing measurements stay missing.