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Alternative Finder

Find the best alternative to ChatGPT, Claude, Google Gemini, or the OpenAI API using tracked benchmark performance, token pricing, context window size, and open-weight availability.

Finder inputs

BenchLM uses GPT-5.4 as the tracked OpenAI reference for ChatGPT-like performance.

Benchmarks last updated April 16, 2026. Token pricing and context are used to break ties and surface the strongest real-world replacements, not just the absolute benchmark leader.

Best current fit for ChatGPT

Gemini 3.1 Pro

88.6 BenchLM fit

Gemini 3.1 Pro is a strong ChatGPT alternative. It beats GPT-5.4 on BenchLM's general use score. Its blended token price is about 65% lower than GPT-5.4.

beats GPT-5.4 on general use benchmarks65% cheaper than ChatGPT1M context window
1
Gemini 3.1 ProBest match

Google · Proprietary · 1M context

Gemini 3.1 Pro is a strong ChatGPT alternative. It beats GPT-5.4 on BenchLM's general use score. Its blended token price is about 65% lower than GPT-5.4.

beats GPT-5.4 on general use benchmarks65% cheaper than ChatGPT1M context window

BenchLM fit

88.6

Score vs ref

101%

Token cost

65% cheaper

2

Alibaba · Proprietary · 1M context

Qwen3.6 Plus is a strong ChatGPT alternative. It still posts a credible 77 score for general use work on BenchLM. Its blended token price is about 100% lower than GPT-5.4.

100% cheaper on blended token cost1M context window

BenchLM fit

81.7

Score vs ref

83%

Token cost

100% cheaper

3

xAI · Proprietary · 2M context

Grok 4.20 is a strong ChatGPT alternative. It still posts a credible 77 score for general use work on BenchLM. Its blended token price is about 57% lower than GPT-5.4. It adds a larger 2M context window than the tracked ChatGPT reference.

57% cheaper than ChatGPT1M context window

BenchLM fit

78.5

Score vs ref

83%

Token cost

57% cheaper

4

Anthropic · Proprietary · 1M context

Claude Mythos Preview is a strong ChatGPT alternative. It beats GPT-5.4 on BenchLM's general use score. It is pricier than GPT-5.4, so the case depends on quality or context-window needs.

beats GPT-5.4 on general use benchmarksmore expensive, but closer to the frontier1M context window

BenchLM fit

77.4

Score vs ref

106%

Token cost

747% pricier

$25.00 in · $125.00 outCompare with GPT-5.4Model profile
5

Xiaomi · Proprietary · 1M context

MiMo-V2-Pro is a strong ChatGPT alternative. It retains about 90% of GPT-5.4's general use benchmark profile.

retains 90% of GPT-5.4's general use score1M context window

BenchLM fit

77.3

Score vs ref

~90%

Token cost

Pricing varies

6

Z.AI · Open Weight · 203K context

GLM-5.1 is a strong ChatGPT alternative. It retains about 90% of GPT-5.4's general use benchmark profile. Its blended token price is about 68% lower than GPT-5.4. It is also open-weight, so you can self-host or fine-tune it.

retains 90% of GPT-5.4's general use score68% cheaper than ChatGPTopen-weight and self-hostable

BenchLM fit

77.2

Score vs ref

90%

Token cost

68% cheaper

Use this tool for SEO and vendor-switching decisions

This finder is strongest when the real buying question is not just “what is the best model?” but “what can replace my current default without wrecking cost, quality, or context limits?” Use the result cards to jump into direct compare pages, pricing, and model profiles before you switch providers.

Track model shifts before your stack gets outdated

Benchmarks, pricing, and rankings move quickly. Get notified when a better alternative appears for your workflow.

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FAQ

How does BenchLM rank alternatives?

BenchLM scores alternatives from tracked benchmark performance first, then adjusts for token price, context window, and open-weight preference. The weighting shifts depending on whether you choose balanced fit, lower cost, open-weight, or coding performance.

Why does ChatGPT map to GPT-5.4 in this finder?

BenchLM tracks model families rather than closed chat products directly. For ChatGPT-like comparisons, the finder uses GPT-5.4 as the current OpenAI benchmark reference so the ranking stays grounded in measurable model data.

What does cheaper mean in the ranking?

Cheaper uses a blended token-cost estimate with 35% input price and 65% output price. That gives more weight to the output side because many production workflows spend more on generated tokens than prompt tokens.

Can this finder surface open-source or self-hosted options?

Yes. Set model type to open-weight only or switch the goal to open-weight first. That pushes self-hostable models higher and removes proprietary APIs when you want maximum control.