TU
Tsinghua University
Language model · China ·Feb 2025

Eurus-2-7B-PRIME

Language Open (Restricted)
7B
Parameters
4
Benchmarks

About Eurus-2-7B-PRIME

Eurus-2-7B-PRIME is an AI model developed by Tsinghua University, in the language category, released in 2025, made available as an open-weights model with 7B params.

On this page you'll find Eurus-2-7B-PRIME's full specifications, including 4 benchmark results. Review provider pricing and benchmark scores below, or compare Eurus-2-7B-PRIME head-to-head with other language models.

Links

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Sized to what Eurus-2-7B-PRIME actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.

Software support

✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.

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Eurus-2-7B-PRIME benchmark scores
Benchmark Category Score Variant
AIME 2024 math 26.7% from-hf-readme
AIME 2024 math 26.7% cited-oreal
MATH-500 math 79.2% from-hf-readme
MATH-500 math 79.2% cited-oreal

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Frequently asked questions

What is Eurus-2-7B-PRIME?

Eurus-2-7B-PRIME is an AI model developed by Tsinghua University, in the language category, released in 2025. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Eurus-2-7B-PRIME?

Eurus-2-7B-PRIME was developed by Tsinghua University and released in 2025.

Is Eurus-2-7B-PRIME open source or proprietary?

Eurus-2-7B-PRIME ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does Eurus-2-7B-PRIME cost?

Pricing for Eurus-2-7B-PRIME depends on the provider. See the providers table on this page for the latest API rates.

How does Eurus-2-7B-PRIME perform on benchmarks?

Eurus-2-7B-PRIME is benchmarked across 4 evaluations on GenAIList, including AIME 2024 (26.7%). See the full benchmark table below and compare it with other models.

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