Best Chatgpt Alternatives
OpenAI makes excellent AI models, but it isn't the right fit for every use case or budget. Common reasons to look elsewhere: OpenAI's frontier models carry premium pricing (GPT-5.4 runs $15/MTok output); some teams need stronger safety guarantees or more predictable instruction-following; others want multimodal support that includes audio and video natively; developers building in regulated industries often prefer providers with different data-handling commitments; and researchers or self-hosters may require open-weight models they can run on their own infrastructure. The 52 models in our benchmark database span Anthropic, Google, xAI, DeepSeek, Mistral, and Meta — giving you real scored alternatives across every price tier.
Pricing vs Performance
Output cost per million tokens (log scale) vs average score across our 12 internal benchmarks
anthropic
Claude Sonnet 4.6
Pricing
Input
$3.00/MTok
Output
$15.00/MTok
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Claude Sonnet 4.6
Claude Sonnet 4.6 scores 4.67/5 average across our 12-test suite — tied with GPT-5.2 for the highest score among all alternatives in this list. It earned 5/5 on tool calling, agentic planning, strategic analysis, creative problem solving, faithfulness, multilingual, long context, and persona consistency in our testing, with a notably strong 5/5 on safety calibration (a dimension where most models score 1–2). On third-party benchmarks, it scores 75.2% on SWE-bench Verified and 85.8% on AIME 2025 (Epoch AI), placing it solidly in the top tier for both coding and math. At $3/MTok input and $15/MTok output, it costs less than GPT-5.4 ($15 output) while matching it on average score.
anthropic
Claude Opus 4.6
Pricing
Input
$5.00/MTok
Output
$25.00/MTok
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Claude Opus 4.6
Claude Opus 4.6 scores 4.58/5 average in our testing and earns 5/5 on strategic analysis, creative problem solving, agentic planning, tool calling, persona consistency, multilingual, long context, faithfulness, and safety calibration. On SWE-bench Verified it scores 78.7% and on AIME 2025 it scores 94.4% (Epoch AI) — both among the highest in our dataset. This is the model for complex, multi-step work where quality is the primary constraint. At $25/MTok output it is priced at or above GPT-5.4, but it offers a 1M token context window and 5/5 safety calibration that GPT-5.4 does not match in our tests.
Gemini 3 Flash Preview
Pricing
Input
$0.500/MTok
Output
$3.00/MTok
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Gemini 3 Flash Preview
Gemini 3 Flash Preview scores 4.50/5 average in our testing — tied with R1 0528 and GPT-5 — and earns 5/5 on tool calling, long context, structured output, strategic analysis, multilingual, creative problem solving, agentic planning, faithfulness, and persona consistency. It also scores 75.4% on SWE-bench Verified and 92.8% on AIME 2025 (Epoch AI). The standout differentiator: at $0.50/MTok input and $3/MTok output, it delivers near-top benchmark performance at roughly 5% of GPT-5.4's output cost. The modality stack (text, image, file, audio, video) also exceeds what most OpenAI models offer.
deepseek
R1 0528
Pricing
Input
$0.500/MTok
Output
$2.15/MTok
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R1 0528
DeepSeek's R1 0528 scores 4.50/5 average in our testing, earning 5/5 on persona consistency, faithfulness, long context, multilingual, tool calling, and agentic planning. On third-party benchmarks it scores 96.6% on MATH Level 5 and 66.4% on AIME 2025 (Epoch AI) — the MATH Level 5 score is among the highest in our entire dataset. At $0.50/MTok input and $2.15/MTok output, it delivers frontier-tier average scores at a fraction of OpenAI's top-tier pricing. Reasoning tokens are included and accessible, which aids debuggability in agentic workflows.
Gemini 3.1 Flash Lite Preview
Pricing
Input
$0.250/MTok
Output
$1.50/MTok
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Gemini 3.1 Flash Lite Preview
Gemini 3.1 Flash Lite Preview scores 4.42/5 average in our testing, earning 5/5 on safety calibration, persona consistency, multilingual, structured output, strategic analysis, and faithfulness — making it one of only a handful of models with a top safety calibration score. It handles text, image, file, audio, and video inputs and carries a 1M token context window. At $0.25/MTok input and $1.50/MTok output, it is dramatically cheaper than any comparable OpenAI model while outscoring GPT-4.1 (4.25/5) in our average.
xai
Grok 4.20
Pricing
Input
$2.00/MTok
Output
$6.00/MTok
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Grok 4.20
Grok 4.20 scores 4.33/5 average in our testing, earning 5/5 on tool calling, faithfulness, multilingual, strategic analysis, persona consistency, structured output, and long context. It carries a 2M token context window — the largest in our dataset — and supports text, image, and file inputs. At $2/MTok input and $6/MTok output, it undercuts GPT-5.4 ($15 output) significantly while maintaining competitive benchmark scores.
mistral
Mistral Medium 3.1
Pricing
Input
$0.400/MTok
Output
$2.00/MTok
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Mistral Medium 3.1
Mistral Medium 3.1 scores 4.25/5 average in our testing — tied with GPT-5.1, GPT-4.1, and o3 — and earns 5/5 on multilingual, strategic analysis, long context, agentic planning, constrained rewriting, and persona consistency. The 5/5 constrained rewriting score is notable: most top models score 3–4 on this dimension. At $0.40/MTok input and $2/MTok output, it delivers the same average score as GPT-4.1 ($8/MTok output) at one-quarter the output cost.
Gemini 2.5 Pro
Pricing
Input
$1.25/MTok
Output
$10.00/MTok
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Gemini 2.5 Pro
Gemini 2.5 Pro scores 4.25/5 average in our testing, earning 5/5 on long context, structured output, tool calling, faithfulness, creative problem solving, persona consistency, and multilingual. On third-party benchmarks it scores 57.6% on SWE-bench Verified and 84.2% on AIME 2025 (Epoch AI). At $1.25/MTok input and $10/MTok output — the same output price as GPT-5 — it offers multimodal support (text, image, file, audio, video) and a 1M token context window that GPT-5 does not provide in our dataset.
Budget Alternatives
Several strong alternatives come in well under $1/MTok output — a threshold none of OpenAI's scored models meet (the cheapest, GPT-5 Nano and GPT-4.1 Nano, sit at $0.40/MTok but score 4.0/5 and 3.58/5 respectively).
DeepSeek V3.2 ($0.38/MTok output, 4.25/5 avg): Scores 5/5 on structured output, long context, persona consistency, multilingual, strategic analysis, faithfulness, and agentic planning in our testing. At $0.26/MTok input and $0.38/MTok output, it is one of the most capable sub-$0.40 models in our dataset.
Gemma 4 26B A4B ($0.35/MTok output, 4.25/5 avg): A mixture-of-experts model scoring 5/5 on structured output, faithfulness, long context, multilingual, persona consistency, strategic analysis, and tool calling. At $0.08/MTok input and $0.35/MTok output, it ties DeepSeek V3.2 on average score at similar pricing.
Gemma 4 31B ($0.38/MTok output, 4.42/5 avg): Scores higher than both of the above at 4.42/5 average, earning 5/5 on structured output, persona consistency, multilingual, faithfulness, strategic analysis, tool calling, and agentic planning. Supports text, image, and video inputs. At $0.13/MTok input and $0.38/MTok output, this is one of the best-value models in the entire dataset.
Grok 4.1 Fast ($0.50/MTok output, 4.25/5 avg): A reasoning model with a 2M token context window scoring 5/5 on long context, persona consistency, structured output, faithfulness, multilingual, and strategic analysis. At $0.20/MTok input and $0.50/MTok output, it offers optional reasoning traces at a low price point.
Mistral Medium 3.1 ($2/MTok output, 4.25/5 avg): Slightly above $1/MTok but included here because it outscores several $8–10/MTok OpenAI models. For teams whose workloads don't require the absolute cheapest option but still want strong value, it is the highest-scoring model under $3/MTok output in our dataset.
Bottom Line
If you want the best overall quality from an OpenAI alternative, switch to Claude Sonnet 4.6 (4.67/5, $15/MTok output) — it matches GPT-5.2's score while adding 5/5 safety calibration. If raw capability on hard tasks is the priority and cost is secondary, Claude Opus 4.6 (4.58/5, 78.7% SWE-bench Verified per Epoch AI) is the strongest option in our dataset. If you want to save money without sacrificing much performance, Gemini 3 Flash Preview (4.50/5, $3/MTok output) or DeepSeek R1 0528 (4.50/5, $2.15/MTok output) both hit near-top scores at a fraction of OpenAI's pricing. If you need open-weight models for self-hosting or privacy reasons, DeepSeek's R1 0528 is the strongest open-reasoning option scored in our dataset, and the Gemma 4 family offers competitive scores at sub-$0.40/MTok output pricing. If safety calibration is a hard requirement, Claude Sonnet 4.6, Claude Opus 4.6, and Gemini 3.1 Flash Lite Preview are the only alternatives in our tests that scored 5/5 on that dimension.
How We Test
We test every model against our 12-benchmark suite covering tool calling, agentic planning, creative problem solving, safety calibration, and more. Each test is scored 1–5 by an LLM judge. Read our full methodology.