The Best AI Models Right Now: October 2026 Roundup

As of October 17, 2026, Claude Opus 5.5 at max effort ranks first on the Artificial Analysis Intelligence Index with a score of 58, ahead of Claude Sonnet 5.5 and Muse Wonder Full at 56. No single model wins every task, so the right pick depends on the job, your budget, and whether you need open weights.

This roundup uses one independent index, Artificial Analysis (AA), plus vendor-reported results that are labelled as such. Every figure is a snapshot from October 17, 2026. Leaderboards change often, so check them before you decide.

Best AI models overall

The table shows selected rows from AA's leaderboard. Parentheses give the reasoning effort AA used, and cost is the price of one full index run.

| Model (effort) | Intelligence Index | Cost per index task | |---|---|---| | Claude Opus 5.5 (max) | 58 | $5.98 | | Claude Sonnet 5.5 (max) | 56 | $5.46 | | Claude Opus 5.5 (xhigh) | 56 | $3.46 | | Muse Wonder Full (max) | 56 | not listed | | Claude Opus 5.5 (high) | 54 | $1.82 | | Claude Fable 5.1 (max) | 53 | $7.63 | | GPT-6 Astra (max) | 53 | $3.26 | | Gemini 4 Argon (high) | 53 | $1.99 | | Muse Wonder (max) | 52 | $4.52 | | GPT-6.1 Sol (max) | 52 | $0.72 |

Source: Artificial Analysis leaderboard. Several models tie at 51 to 53, so small differences in rank do not mean much. The index mixes ten evaluations, and effort settings change both score and cost.

Release timeline for the newest models

Most of the models in this roundup launched in September or October 2026. Dates are from each vendor's changelog or model page.

| Date (2026) | Model | |---|---| | September 3 | GPT-6 Astra | | September 22 | Claude Opus 5.5; GPT-6 Sol and GPT-6 Luna | | September 28 | Claude Sonnet 5.5; Eleven v4 | | September 29 | GPT-6.1 Sol | | October 7 | Claude Haiku 5.5 | | October 12 | Muse Wonder (proprietary) | | October 13 | Gemini 4 Argon, generally available | | October 15 | Muse Spark Open |

Best AI model for coding and agents

Independent coding rankings were not available for this roundup, so this section reports vendor figures only. Each vendor's numbers come from its own tests, and the vendors do not use the same setup, so do not compare figures across companies.

Anthropic reports Terminal-Bench 4.0 scores of 70.6% for Sonnet 5.5, 66.4% for Opus 5.5, and 39.2% for Haiku 5.5. Its table puts GPT-6 Astra at 57.9%. (Anthropic's launch posts for Opus 5.5, Sonnet 5.5 and Haiku 5.5)
Google reports DeepSWE v1.1 scores of 77.9% for Gemini 4 Argon, 74.2% for Opus 5.5 and 74.1% for GPT-6 Astra. Its table also gives Argon 57.4% on Terminal-bench 4.0, below Opus 5.5 at 66.4%. (Google DeepMind's Gemini page)

Read these as vendor claims. For coding work, run the model on a sample of your own tasks.

Best value models

Per-token prices show what each model costs before any other factor. The table lists standard API prices per million tokens, input and output, on short context.

| Model | Input | Output | Note | |---|---|---|---| | Claude Fable 5.1 | $10 | $50 | Anthropic's pick for the hardest tasks | | GPT-6 Astra | $10 | $50 | Short context | | Claude Opus 5.5 | $4 | $20 | Anthropic's pick for most workloads | | Claude Sonnet 5.5 | $2 | $10 | Balance of speed and intelligence | | GPT-6.1 Sol | $2 | $10 | Scored 52 at $0.72 per index task | | Gemini 4 Argon | $2.00 | $10.00 | Rises to $4.00 and $20.00 on December 1, 2026 | | Grok 4.7 | $2.00 | $6.00 | Under 200K-token prompts; no AA score found | | Gemini 3.8 Flash | $0.75 | $3.75 | Rises to $1.50 and $7.50 on January 1, 2027 | | Claude Haiku 5.5 | $0.10 | $0.50 | Up to 100K-token prompts | | GPT-6 Luna | $0.10 | $0.50 | Lowest-priced GPT-6 model listed | | DeepSeek V4.1 Flash | $0.15 | $0.60 | Off-peak, cache miss; $0.30 and $1.20 at peak |

Sources: Claude models overview, OpenAI API pricing, Gemini API pricing, and DeepSeek's API pricing page.

On AA's index, GPT-6.1 Sol scores 52 at max effort for $0.72 per task, and 51 at xhigh effort for $0.39. Gemini 4 Argon at high effort scores 53 at $1.99 per task.

Best open-weights AI models

Open-weights models can be downloaded and run on your own hardware or a hosting provider, under each model's license. The table lists AA's open-weights results with license notes from the model pages.

| Model (effort) | Intelligence Index | Size (total / active) | License | |---|---|---|---| | MiMo-V2.6-Pro | 46 | 1.0T / 42B | MIT tag | | GLM-5.3 (Max) | 45 | 753B / 40B | "glm-5.3" (text not read) | | Step 5 Preview | 44 | 600B / 27B | Not checked | | Kimi K3 (Max) | 44 | 2.8T / 104B | Kimi K3 License, with conditions | | GLM-5.3-Flash | 42 | 320B / 18B | Not checked | | DeepSeek V4.1 Flash (Max) | 39 | 552B / 16B | MIT | | Muse Spark Open (Xhigh) | 39 | 816B / 42B | Muse Model License |

Source: Artificial Analysis open-weights models. MiMo-V2.6-Pro and DeepSeek V4.1 Flash are the only MIT-licensed models confirmed here. Muse Spark Open is mid-table on this index, and its license has conditions, which this guide's companion post covers. The top open-weights score, 46, is 12 points below the top closed score, 58, which is a derived gap.

Best AI voice and text-to-speech models

The Artificial Analysis Provider Voice Arena ranks text-to-speech models by user votes. These are the top five on October 17, 2026, with price per million characters.

| Rank | Model | Elo | Price per 1M characters | |---|---|---|---| | 1 | Eleven v4 Turbo (ElevenLabs) | 1330 | $40.00 | | 2 | Eleven v4 (ElevenLabs) | 1329 | $80.00 | | 3 | Qwen-Audio-3.1-TTS-Plus (Alibaba) | 1296 | $19.30 | | 4 | Cartesia Sonic 3.6 | 1285 | $49.00 | | 5 | Gemini 3.8 Flash TTS | 1275 | $16.50 |

Source: Artificial Analysis text-to-speech leaderboard. The top two Elo scores are one point apart. For a closer look at the ElevenLabs models, read Eleven v4: pricing and specs.

For real-time voice, OpenAI's GPT-Live 1 is priced at $0.05 per minute for voice sessions, and xAI's grok-voice-3.0 at $0.08 per minute for speech to speech. Those are published prices. This roundup has no independent ranking for them.

Best AI image models

No image leaderboard was checked for this roundup, so this section does not rank image models. The release facts that were verified are these: Google's Nano Banana 2.1 became generally available on October 6, 2026, and OpenAI released GPT Image 2.5 (Sunburst and Flare) on September 8, 2026.

OndaLabs' image studio lists different models: Nano Banana Lite, Nano Banana, Nano Banana Pro, GPT Image and GPT Image Mini, available on the Starter plan and above. Those are not the same versions as Nano Banana 2.1 or GPT Image 2.5.

How to choose

Start with the job, then check the numbers that matter for it:

Task type. For reasoning and writing, the AA index gives a rough guide. For coding and agents, use vendor tables as a starting point and test on your own work.
Budget. Compare cost per index task as well as per-token price. A cheaper model can cost more per task if it uses more tokens.
Context. Claude 5.5 models and Fable 5.1 offer 1M tokens with 128K output. GPT-6 Astra offers 1.05 million tokens with 128K output. Gemini 4 Argon offers 1,048,576 tokens with 65,536 output by default. Grok 4.7 offers 500K, and Muse Spark Open offers 1M.
Hosting and privacy. Hosted APIs are the simplest route. Open-weights models give you control, but the largest need hundreds of gigabytes of GPU memory.
License. Read the license for any open-weights model before you build on it.

How to read AI leaderboards

Leaderboards show a snapshot, and they can mislead when used alone:

Scores depend on effort. The same model can score 58 at max and 51 at medium.
Vendors disagree on the same model. Anthropic reports GPT-6 Astra at 57.9% on Terminal-Bench 4.0, and Google reports 58.2%. Each figure comes from a different setup, so neither should be treated as the single correct score.
Popularity is not quality. Hugging Face's trending page shows what people are downloading and discussing. It does not measure how well a model performs.

Where voice fits

Most models in this roundup return text. A spoken answer needs a text to speech model after the text step. OndaLabs is an AI voice studio. Its text to speech includes 30 prebuilt voices, usable in every supported language, and 37 language pages. Speech to text costs 50 credits per minute. Plan prices and credit costs are on the pricing page.

Frequently asked questions

What is the best AI model right now?

As of October 17, 2026, Claude Opus 5.5 at max effort scores highest on the Artificial Analysis Intelligence Index, at 58. That is a single independent index, and it does not reflect every task. Check the model on your own work before you choose.

Which AI model is best for coding?

No independent coding leaderboard was checked for this roundup. Vendor figures from Anthropic and Google disagree on which model leads, so they are not a single answer. Test two or three models on real tasks from your codebase.

Which is the cheapest good AI model?

GPT-6.1 Sol scored 52 on the AA index at max effort for $0.72 per index task, and 51 at xhigh for $0.39. Per token, GPT-6 Luna and Claude Haiku 5.5 are priced at $0.10 input and $0.50 output. Cheapest is not always best, so compare cost per task and quality on your own work.

What is the best open-weights AI model?

On the AA open-weights list as of October 17, 2026, MiMo-V2.6-Pro scored highest at 46. Muse Spark Open scored 39, and Kimi K3 scored 44 with its own license terms. Check each license before you use the model commercially.

Claude vs ChatGPT vs Gemini: which should I use?

On the AA index, Claude Opus 5.5 is ahead of GPT-6 Astra and Gemini 4 Argon at max or high effort, but it costs more per token than Argon. Results differ by task, so the practical answer is to run the same prompts through each. Consumer app plans were not checked for this roundup.

How often do AI model rankings change?

Rankings can change within days, because vendors release new models and update their pricing. Leaderboards such as Artificial Analysis update continuously. Treat any table, including this one, as a snapshot from its date.