There are three ways to use good AI for free in 2026. Consumer apps: ChatGPT Free has unlimited text chat on GPT-5.6 Luna, Claude Free includes Sonnet and Haiku, Gemini's free tier runs Flash models with a 32K context window, and Meta AI is free inside Meta's apps. Open-weight models you run yourself: DeepSeek V4.1 Flash (MIT licence), Qwen 3.8 Flash and Muse Glimmer 30B (Apache 2.0) cost nothing but your hardware. And when free limits run out, Claude Haiku 5.5 and GPT-6 Luna cost only $0.10 per million input tokens.
The safest this comparison default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
DeepSeek V4.1 Flash is the strongest answer here for this comparison — pick it when quality of output matters more than the $0.30/1M/1M input you pay for it.
Claude Haiku 5.5 handles the same job for about 60% less per token. Start here and only move up if the output is not good enough.
Qwen 3.8 Flash is the fastest of these for this comparison — worth it when latency is what the reader notices, not the last few points of reasoning depth.
ChatGPT Free (unlimited text chat) and Claude Free (Sonnet and Haiku) are the best free consumer apps.
DeepSeek V4.1 Flash, Qwen 3.8 Flash and Muse Glimmer 30B are open-weight models you can run at no licence cost.
When free limits run out, Claude Haiku 5.5 and GPT-6 Luna are the cheapest capable paid options at $0.10 per million input tokens.
Choose ChatGPT Free for unlimited everyday chat, or Claude Free for writing, if you just want to use AI in a browser.
Choose DeepSeek V4.1 Flash or Qwen 3.8 Flash when you want to self-host a capable model with a permissive licence.
Choose Muse Glimmer 30B when it has to run locally on modest hardware — it is small enough for a single high-end GPU.
Switch the scoring lens to see whether the this comparison answer changes when cost, speed, or long-document depth leads the decision.
DeepSeek / Budget / Oct 10, 2026
DeepSeek's open, cheap new default — V4-Pro now routes to it.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need long single outputs (32K cap) or independently verified scores before you commit.
Where the this comparison recommendation shifts once you weigh price or latency differently.
DeepSeek's open, cheap new default — V4-Pro now routes to it.
SWE-bench Pro 62.5 at sixteen cents per million input.
Apache 2.0 agent model that runs on a 24GB GPU.
Anthropic's budget model, now with adjustable reasoning, at $0.10/$0.50.
OpenAI's budget tier at half the old price.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 FlashDeepSeek | $0.30/1M | $1.20/1M | $5.40 | 1.0M tokens | Fast | 89 | 83 | 83 |
| Qwen 3.8 FlashAlibaba | $0.15/1M | $0.47/1M | $2.44 | 991k tokens | Very fast | 84 | 76 | 78 |
| Muse Glimmer 30BMeta | $0.35/1M | $1.50/1M | $6.50 | 131k tokens | Fast | 80 | 74 | 76 |
| Claude Haiku 5.5Anthropic | $0.10/1M | $0.50/1M | $2.00 | 1M tokens | Very fast | 86 | 84 | 82 |
Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.
Why each one is on the shortlist for this comparison, what it is genuinely good at, and where we would steer you away from it.
Ranked first here for this comparison: 89/100 on coding, with the widest margin of anything in this line-up.
DeepSeek's September 10, 2026 release, now its top API model: a natively multimodal, MIT-licensed model with 1M context that DeepSeek says beats its own V4-Pro on coding and agent work — V4-Pro traffic has been routed to it since September 14.
You need long single outputs (32K cap) or independently verified scores before you commit.
DeepSeek's current flagship in practice, since V4-Pro requests now run on it. Cheap and open, with coding claims that still need independent confirmation. A strong pick for self-hosting or budget pipelines with review.
Full pricing, benchmark table and release notes on the DeepSeek V4.1 Flash page.
The fastest model in this shortlist for this comparison. Pick it when turnaround is what your readers or users notice.
Alibaba's preview of the Qwen4 architecture — 125B parameters with only 6B active per token, at sixteen cents per million input.
You need Alibaba's maximum capability — that is Qwen 3.8 Max — or a SWE-bench Verified number.
One of the best coding-score-per-dollar picks in the catalog. Route volume work here and reserve Qwen 3.8 Max or a frontier model for the hard cases.
Full pricing, benchmark table and release notes on the Qwen 3.8 Flash page.
Rounds out the shortlist for this comparison at 80/100 on coding.
Apache 2.0 agent model that runs on a 24GB GPU. Full Muse Glimmer 30B review →
The value option for this comparison: about 60% less per token than DeepSeek V4.1 Flash, at 86/100 on coding. Worth starting here and moving up only if the output disappoints.
Anthropic's budget model, now with adjustable reasoning, at $0.10/$0.50. Full Claude Haiku 5.5 review →
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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In a browser: ChatGPT Free, Claude Free, Gemini's free tier and Meta AI. To run yourself: open-weight models such as DeepSeek V4.1 Flash (MIT), Qwen 3.8 Flash and Muse Glimmer 30B (Apache 2.0). Hosted APIs for open-weight models still charge per token; only self-hosting is free of usage fees.
Yes. Claude Free includes Sonnet and Haiku with session limits; Opus is not available on the free plan. On the API there is no free tier, but Claude Haiku 5.5 costs $0.10 per million input tokens.
For a hosted app, Claude Free or ChatGPT Free. To run locally, DeepSeek V4.1 Flash — DeepSeek says it beats its own V4-Pro on coding — or Qwen 3.8 Flash for lighter hardware.