7 Best GPT-6 Astra Alternatives in 2026 (Free & Paid)
GPT-6 Astra is openAI's GPT-6 family (Astra, Sol, Luna) behind ChatGPT and the OpenAI API, priced at free plan, paid from $8/mo. If it is too expensive, missing a feature or simply not for you, these are the strongest alternatives we have reviewed.
1
Anthropic's Claude models (Fable 5.1, Opus 5.5, Sonnet 5, Haiku 4.5) with 1M-token context
9.0/10
What it is Claude is Anthropic's family of large language models. The current lineup (September 2026) is Claude Fable 5.1 (released 1 September 2026, for demanding reasoning and long-horizon work), Claude Opus 5.5 (released 22 September 2026, Anthropic's recommended default), Claude Sonnet 5 and Claude Haiku 4.5. All take text and images as input and produce text. Key features -… Read more →
Pros
- 1M-token context window on Fable 5.1, Opus 5.5 and Sonnet 5
- Up to 128K output tokens per request, useful for long drafts and chapters
- Opus 5.5 is billed at $4 / $20 per million tokens, well below Fable 5.1
- Available on the Claude API, Amazon Bedrock, Google Cloud and Microsoft Foundry
Cons
- Fable 5.1 costs $10 input / $50 output per million tokens
- Free Claude plan only includes Sonnet and Haiku
- No native image generation; text and image input only
- Pro and Max users get only part of their weekly limits on Fable
Pricing: Free plan, paid from $20/mo · llm anthropic claude long-context writing
2
Google's Gemini models (3.1 Pro, 3.8 Flash) in the Gemini app, NotebookLM and the Gemini API
8.7/10
What it is Gemini is Google DeepMind's family of multimodal models. The top Pro tier is still Gemini 3.1 Pro (stable February 2026); Gemini 3.5 Pro was announced at I/O in May 2026 but had not reached the API by late September. The Flash line moves fast: Gemini 3.8 Flash (2 September 2026) is the newest, after 3.7 Flash (August)… Read more →
Pros
- Gemini 3.8 Flash API price is $0.75 in / $3.75 out per million tokens until end of 2026
- Free tier in the Gemini app and a free (rate-limited) API tier in AI Studio
- Google AI Plus starts at $4.99 per month in the US
- Same account unlocks Nano Banana images and Flow video
Cons
- Gemini 3.5 Pro was announced in May 2026 but has not shipped; the Pro tier is still 3.1
- Free API tier content may be used to improve Google's products
- Gemini 3.8 Flash price doubles after 31 December 2026
- Frequent Flash versions (3.5, 3.6, 3.7, 3.8 in four months) make pinning outputs harder
Pricing: Free plan, paid from $4.99/mo · llm google gemini multimodal api
3
DeepSeek's MIT-licensed V4 models with 1M-token context and very low API prices
8.0/10
What it is DeepSeek is a Chinese AI lab that publishes open-weight language models. Its current generation, DeepSeek V4, launched in April 2026 in two sizes: V4 Pro (1.6T parameters, 49B active) and V4 Flash (284B, 13B active). DeepSeek V4 Pro left preview and became generally available on the API and in the chat app on 13 August 2026. Both… Read more →
Pros
- Open weights under the MIT licence, commercial use allowed
- 1M-token context and up to 384K output tokens
- Off-peak API output prices of about $0.60 (Flash) and $1.98 (V4 Pro) per million tokens
- Free chat app with an Expert Mode on V4 Pro
Cons
- V4 Pro has no vision input; only the Flash model reads images
- Peak-hour API prices are double the off-peak rates
- Self-hosting V4 Pro (1.6T parameters) needs data-centre hardware
- Data processed on the hosted service is subject to Chinese jurisdiction, a concern for some clients
Pricing: Open source · llm open-weights mit long-context budget
4
Alibaba's Qwen3.8 family, from Apache-2.0 open weights (27B to 2.4T) to the hosted Qwen3.8-Max
★ 4.2k · Apache-2.0 · updated 2026-08-17
7.8/10
What it is Qwen is Alibaba's large language model family. The current generation is Qwen3.8: the hosted Qwen3.8-Max (2 August 2026), open weights for Qwen3.8-2.4T-A95B (12 August 2026, the first open release of a Max-class Qwen model), the dense Qwen3.8-27B (mid August) and Qwen3.8-Flash (26 August 2026). Earlier 2026 releases were Qwen3.5 (February) and Qwen3.6 (April). Qwen 4 is described… Read more →
Pros
- Open weights under Apache 2.0, including a 2.4T-parameter flagship-class model
- Covers 201 languages, useful for multilingual and Asian-market content
- Qwen3.8-27B runs locally with 262K context and image/video input
- OpenAI- and Anthropic-compatible cloud API
Cons
- The largest open model needs data-centre hardware
- Launch focus is coding and agents rather than prose style
- Hosted Qwen3.8-Max and Flash are cloud-only
- None of the writing apps in our directory document Qwen as a selectable model
Pricing: Open source · llm open-weights apache-2 multilingual alibaba
5
xAI's Grok models, built into Grok and X, with a 500K-token context on Grok 4.7
7.5/10
What it is Grok is the model family from xAI (now operating as SpaceXAI). Grok 4.7 launched on 21 September 2026 and xAI's docs call it the most capable model it has built, recommended for everything including code. It follows Grok 4.6 (August 2026) and Grok 4.5 (July 2026). Grok 4.7 accepts text and images and writes text. Key features… Read more →
Pros
- 500K-token context window on Grok 4.7
- API price of $2 in / $6 out per million tokens (under 200K tokens) is low for a frontier model
- Grok 4.3 offers a 1M-token context at $1.25 / $2.50
- Live access to X posts in the Grok app helps with trend-driven social content
Cons
- Launch focus is coding and agents, not writing quality
- Prices double for prompts over 200K tokens
- xAI's own pricing and news pages blocked verification; consumer plan prices come from third parties
- Brand-safety concerns: Grok has had several public moderation controversies
Pricing: Freemium · llm xai grok social api
6
Mistral AI's European models: open-weight Medium 3.5, Large 3 and Small 4, used in Mistral Vibe
7.3/10
What it is Mistral AI is a Paris-based lab that publishes both hosted and open-weight models. Its current flagship is Mistral Medium 3.5 (28 April 2026), a 128B multimodal model with open weights under a modified MIT licence. The lineup also includes Mistral Large 3 (December 2025, Apache 2.0) and Mistral Small 4 (March 2026, Apache 2.0), plus specialised OCR… Read more →
Pros
- Open weights: Medium 3.5 (modified MIT), Large 3 and Small 4 (Apache 2.0)
- 256K-token context on Medium 3.5
- EU-based vendor, useful for GDPR-sensitive clients
- Vibe Pro at $14.99 per month includes $30 of monthly API credits
Cons
- Medium 3.5's licence requires large companies above a revenue threshold to negotiate a commercial deal
- Launch focus is agentic coding rather than creative writing
- No new flagship since April 2026; the larger model shown in July is still in early access
- Le Chat was renamed Mistral Vibe in May 2026, so older guides are out of date
Pricing: Open source, paid cloud from $14.99/mo · llm open-weights europe mistral gdpr
7
Meta's model line: closed Muse Spark 1.3, open Muse Glimmer 30B and the older open Llama 4
★ 7.7k · Muse Spark: proprietary; Muse Glimmer: Apache-2.0; Llama 4: Llama 4 Community License · updated 2026-02-11
6.8/10
What it is Meta's language models used to mean Llama. In April 2026 Meta Superintelligence Labs replaced Llama in its own products with Muse Spark, a proprietary model; Muse Spark 1.3 followed on 2 September 2026. On 10 August 2026 Meta returned to open weights with Muse Glimmer, a 30B multimodal model under Apache 2.0. The last Llama release is… Read more →
Pros
- Muse Glimmer (30B) is Apache-2.0 and runs on one consumer GPU or a Mac
- Muse Spark 1.3 API at $1.25 in / $4.25 out per million tokens
- Llama 4 Scout and Maverick weights remain downloadable, with up to 10M-token context on Scout
- Broad local tooling: llama.cpp, MLX, Ollama, LM Studio, vLLM
Cons
- The flagship Muse Spark is closed; Meta moved away from open Llama for its top model
- No new Llama release since April 2025
- Muse models are tuned for coding and agents, not creative writing
- Llama 4 uses Meta's custom community licence, not a standard open-source licence
Pricing: Freemium · llm meta open-weights local muse