LLM Alternatives — 17 Models, Ranked by Price, Effort & Parity
Raw dataset: data.json. Cite this: All AI Ask LLM Switching / Alternatives Dataset, retrieved 2026-07-30.
Every alternative on every page below is a model you can already call through All AI Ask — we route to all of them, so this comparison has no reason to favor any one provider. Each page shows what you save, what you lose, and how much work the switch actually is: a rewrite, a config change, or a drop-in swap.
Model alternatives
| Model | Provider | Price/M | Cheapest alternative | Effort |
|---|---|---|---|---|
| Claude Fable 5 | Anthropic | $20.00 | GPT-5.6 Luna | config |
| GPT-5.6 Sol | OpenAI | $11.25 | GPT-OSS 20B | config |
| Claude Opus 4.8 | Anthropic | $10.00 | GPT-5.6 Luna | config |
| Gemini 3.1 Pro | $4.50 | GPT-OSS 20B | config | |
| Grok 4.3 | xAI | $1.56 | GPT-OSS 120B (Cerebras) | config |
| DeepSeek V4 Pro | DeepSeek | $0.54 | GPT-OSS 120B (Cerebras) | config |
| Claude Sonnet 4.6 | Anthropic | $6.00 | GPT-5.6 Luna | config |
| GPT-5.6 Terra | OpenAI | $4.50 | GPT-OSS 20B | config |
| Gemini 3.6 Flash | $3.38 | GPT-OSS 20B | config | |
| Grok-4.20 Reasoning | xAI | $3.00 | GPT-OSS 120B (Cerebras) | config |
| Mistral Large 3 | Mistral | $3.00 | Ministral 8B | drop-in |
| Qwen 3.8 Max | Qwen | $2.80 | GPT-OSS 20B | config |
| GLM-5.2 | Z.ai | $2.15 | GPT-OSS 20B | config |
| Claude Haiku 4.5 | Anthropic | $2.00 | Mistral Small 3.1 | config |
| GPT-5.6 Luna | OpenAI | $0.45 | Mistral Small 3.1 | config |
| GPT-OSS 120B | Groq | $0.26 | GPT-OSS 20B | drop-in |
| DeepSeek V4 Flash | DeepSeek | $0.17 | GPT-OSS 20B | config |
Data verified 2026-07-30. Capped to models with real search demand — see methodology.
Provider alternatives
| Provider | Current models | Price range |
|---|---|---|
| Amazon alternatives | 3 | $0.06 – $1.40 |
| Anthropic alternatives | 4 | $2.00 – $20.00 |
| Cerebras alternatives | 2 | $0.45 – $2.38 |
| DeepSeek alternatives | 2 | $0.17 – $0.54 |
| Google alternatives | 3 | $0.56 – $4.50 |
| Groq alternatives | 3 | $0.13 – $1.20 |
| Mistral alternatives | 5 | $0.15 – $3.00 |
| OpenAI alternatives | 3 | $0.45 – $11.25 |
| Qwen alternatives | 3 | $1.10 – $2.80 |
| xAI alternatives | 3 | $1.56 – $3.00 |
| Z.ai alternatives | 1 | $2.15 – $2.15 |
Methodology
Effort is a published rule, not a score: same provider is a drop-in; a different, fully OpenAI-compatible provider is a config change; a partially compatible provider (or a model that loses its reasoning-mode parameter) is a code change; a provider with a different wire protocol and auth scheme is a rewrite.
Parity gaps are printed in full, always, before the wins — context, output length, modalities, reasoning mode, prompt caching, batch discounts, free tier, data residency, published SLA, and whether the target trains on your API data. A dimension only counts when the source model or provider actually has it.
Closeness = 0.40·parity + 0.25·effort + 0.25·price advantage + 0.10·speed advantage, min-max normalised across the candidate set. A model missing a speed measurement is never scored as zero on it — that weight is dropped and the rest renormalised.
Model pages are capped at the 17 current models with real search demand (salience ≥ 2 in our internal model dataset) — a deliberate cap against thin, near-duplicate pages. Every alternative on every page is itself a current, non-deprecated model.
Or don't migrate at all
One base URL, one key, change the model string — All AI Ask routes to every provider on this page already.
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