Data as of

The AI Leaderboard

27 frontier models from 11 labs — Anthropic, OpenAI, Google, Meta, Moonshot, Alibaba and more — ranked on one independent index. Re-rank them for your own work, compare any four side by side, and see what each one costs at your volume.

Leader
Claude Opus 5.5
Top score
86.6
Models
27
Open-weight
5

Best overall

Claude Opus 5.5

Anthropic · 86.6 overall

Top coding score

Claude Sonnet 5.5

Anthropic · 85 coding

Top agentic score

Claude Opus 5.5

Anthropic · 90 agentic

Top reasoning score

GPT-6 Astra

OpenAI · 93 reasoning

Best value

GPT-6.1 Sol

OpenAI · $4 / 1M blended

Best open-weight

MiMo-V2.6-Pro

Xiaomi · 73.6 overall

Live rankings

Sorted by the index’s overall score. Pick a preset or set your own weights, filter by lab, and tick rows to compare. Every view has its own link.

Frontier AI models ranked by overall score, October 2026
#ModelScoreAgenticCodingReasoningKnowledgeMultimodalInput / output $ per 1M
1Claude Opus 5.5Anthropic86.69083869092$4 / $20
2GPT-6 AstraOpenAI84.376759386—$10 / $50
3GPT-6.1 SolOpenAI84.377719186—$2 / $10
4Claude Fable 5.1Anthropic83.181778586—$10 / $50
5Gemini 4 ArgonGoogle82.778738781—$2 / $10
6Claude Sonnet 5.5Anthropic82.269858282—$2 / $10
7Claude Fable 5Anthropic81.27572—82—$10 / $50
8Claude Opus 5Anthropic79.97971818191$5 / $25
9GPT-6 SolOpenAI78.858667379—$2 / $10
10GPT-6.1 TerraOpenAI75.972——7592$1 / $5
11GPT-5.6 SolOpenAI75.16867767690$4 / $20
12Muse Wonder FullMeta74.9—74—78—not listed / not listed
13MiMo-V2.6-ProXiaomi73.66864—69—$0.43 / $0.87
14GPT-5.5 ProOpenAI73.4—————$30 / $180
15Muse WonderMeta71.7—70—74—$4 / $20
16Kimi K3Moonshot AI70.16759706890$3 / $15
17GPT-5.6 TerraOpenAI70.06162696985$2 / $12
18Qwen3.8 MaxAlibaba69.96654—6792not listed / not listed
19Claude Opus 4.8Anthropic69.76061637188$5 / $25
20Step 5 PreviewStepFun69.36561—6873$1 / $2.70
21GPT-5.5OpenAI69.06162707174$5 / $30
22Gemini 3.8 FlashGoogle68.86661747388$0.75 / $3.75
23GPT-5.4 ProOpenAI68.7—————$30 / $180
24Claude Opus 4.7 (Adaptive)Anthropic68.66056—6551$5 / $25
25GLM-5.3Z.AI68.270568062—not listed / not listed
26Grok 4.3xAI68.0—————$1.25 / $2.50
27DeepSeek V4.1 FlashDeepSeek65.9—————not listed / not listed

Best AI model overall right now

Claude Opus 5.5 leads the October 2026 index at 86.6, with the highest agentic (90) and knowledge (90) scores of any model here. GPT-6 Astra and GPT-6.1 Sol sit 2.3 points behind — and GPT-6.1 Sol does it at $10 per million output tokens against $50 for GPT-6 Astra. At the top, the difference between first and fifth is smaller than the difference between workloads.

Best AI model for coding in 2026

On the coding category, Claude Sonnet 5.5 scores highest among current models (85), ahead of Claude Opus 5.5 (83). Coding benchmarks reward getting a patch right; real engineering also needs the model to plan, run tools and recover from failures, which is what the agentic score measures. Pick the Coding preset to rank on both at once.

Best AI for agents and computer use

Claude Opus 5.5 has the strongest agentic score (90). Among the cheaper options, GPT-6.1 Sol scores 77 — worth testing for high-volume agents where per-step cost compounds.

Claude vs GPT vs Gemini: how the big three compare

Best current modelOverallCodingReasoning$ in / out
Claude Opus 5.5 · Anthropic86.68386$4 / $20
GPT-6 Astra · OpenAI84.37593$10 / $50
Gemini 4 Argon · Google82.77387$2 / $10

Anthropic currently holds the overall lead and the top coding score. OpenAI’s line leads on reasoning. Google’s Gemini 4 Argon, released October 13, lands within a few points of both at the low end of frontier pricing.

Best open-source (open-weight) LLMs

Open-weight models can be downloaded and self-hosted, which matters for data residency and per-token cost at scale. The strongest here:

  1. MiMo-V2.6-Pro · Xiaomi73.6
  2. Qwen3.8 Max · Alibaba69.9
  3. Step 5 Preview · StepFun69.3
  4. GLM-5.3 · Z.AI68.2
  5. DeepSeek V4.1 Flash · DeepSeek65.9

Cheapest frontier AI models and best value

A model is on the value frontier when nothing else is both better and cheaper. 4 models qualify: Claude Opus 5.5 ($8), GPT-6.1 Sol ($4), GPT-6.1 Terra ($2), MiMo-V2.6-Pro ($0.54). Every other model is beaten on both axes by at least one of these. Switch the explorer to Price vs performance to see the line, or Cost calculator to price your own volume.

AI coding tools built on these models

These are products, not models, so they are listed rather than ranked against the table.

CursorAI code editor · Anysphere

A VS Code-based editor built around multi-file edits and fast in-IDE iteration.

Runs on: Composer 2.5 (Cursor’s own model, built on Kimi K2.5) plus Claude, GPT and Gemini models.

Composer 2.5 (May 2026): 69.3% Terminal-Bench 2.0, 79.8% SWE-Bench Multilingual — Cursor-reported.

Website Source

Claude CodeTerminal coding agent · Anthropic

An agent that works in your terminal and repository: reads code, runs commands, edits files and opens pull requests.

Runs on: Claude models, including Claude Opus 5.5 and Sonnet 5.5.

Website Source

OpenAI CodexCloud and CLI coding agent · OpenAI

OpenAI’s software-engineering agent, available in ChatGPT, as a CLI and in IDE extensions.

Runs on: OpenAI GPT models.

Website Source

Google AntigravityAgentic development platform · Google

Google’s agent-first IDE, one of the first surfaces to ship Gemini 4 Argon.

Runs on: Gemini 4 Argon, among other models.

Website Source

How this leaderboard works

  • One source for every score. All model numbers come from BenchLM as of October 26, 2026. Vendor launch charts use different harnesses, so mixing them makes a table look precise while ranking nothing.
  • Gaps stay gaps. Where the index has not scored a model on a category, the cell shows “—”. Custom weights score each model only on what was measured and show the coverage.
  • Evidence labels. “Estimated” means the index scored the model on fewer benchmarks, with a wider uncertainty range. “Superseded” means its lab has shipped a successor.
  • Prices are list API rates per million tokens. “$ / 1M” blends input and output 3:1, the shape of typical chat traffic.

Frequently asked questions

What is the best AI model right now (October 2026)?

Claude Opus 5.5 from Anthropic leads with an overall score of 86.6, ahead of GPT-6 Astra (84.3) and GPT-6.1 Sol (84.3). The gap at the top is a few points, so the best pick depends on your workload — use the presets above to rank by coding, agents or research.

What is the best AI model for coding?

Claude Sonnet 5.5 has the highest coding score among current models (85). For autonomous, multi-step engineering work, also weigh the agentic score, where Claude Opus 5.5 leads (90).

Which is better: Claude, GPT or Gemini?

On this index the strongest current model from each lab is Claude Opus 5.5 (86.6), GPT-6 Astra (84.3), Gemini 4 Argon (82.7). Claude Opus 5.5 leads overall; GPT-6 Astra is strongest on reasoning among the three; Gemini 4 Argon matches the cheaper end of pricing at $2 / $10 per million tokens.

What is the best open-source (open-weight) LLM?

MiMo-V2.6-Pro by Xiaomi is the highest-ranked open-weight model, scoring 73.6. 5 open-weight models appear in this leaderboard; tick “Open weights only” to see them alone.

What is the cheapest frontier AI model?

GPT-6.1 Sol is the best-scoring model on the price-performance frontier at or under $5 per million blended tokens ($4). The “Price vs performance” view plots every model so you can see the trade-off directly.

When was Gemini 4 Argon released and how does it rank?

Google released Gemini 4 Argon to developers on October 13, 2026, after announcing it on September 30. It ranks in the top five overall here, with a 1M-token context window and an introductory price of $2 input / $10 output per million tokens through November 30, 2026.

Where do these benchmark scores come from?

All model scores come from one independent index, BenchLM, as of October 26, 2026, so every row is measured the same way. Each model’s details link to its source page. We do not mix vendor-reported numbers from different launch posts, because cross-lab methodologies differ.

How often is the AI leaderboard updated?

We re-check the index and refresh the table when frontier models launch or scores change materially. The date at the top of the page is the date of the data, not the date you loaded it.