GeekRadar / The comparison desk

COMPARE.

AI
Filters

Filter AI models

Brand
Benchmark coverage
Clear all filters
Type
6,274 results
black-forest-labs

FLUX.1 [dev]

Models
Open weights
Yes
Reasoning
No
Tool calling
No
Model license
FLUX.1 [dev] Non-Commercial License
black-forest-labs

FLUX.1 [schnell]

Models
Open weights
Yes
Reasoning
No
Tool calling
No
Model license
Apache 2.0
google

gemma-2-2b-it

Models
Context window
8,192 tokens
Maximum output
8,192 tokens
Open weights
Yes
Reasoning
No
Context window
8,192 tokens
Open weights
Yes
Reasoning
No
Tool calling
No
mistral

Mistral Large 2407

Models
Context window
131,072 tokens
Maximum output
104,857 tokens
Open weights
Yes
Reasoning
No
Context window
128,000 tokens
Maximum output
4,096 tokens
Open weights
Yes
Reasoning
No
Context window
128,000 tokens
Maximum output
4,096 tokens
Open weights
Yes
Reasoning
No
Context window
128,000 tokens
Maximum output
4,096 tokens
Open weights
Yes
Reasoning
No
meta

Llama-3.1-405B

Models
Open weights
Yes
Model license
llama3.1
Checkpoint tensor payload
755.96 GiB
meta

Llama-3.1-70B

Models
Open weights
Yes
Model license
llama3.1
Checkpoint tensor payload
131.42 GiB
meta

Llama-3.1-8B

Models
Open weights
Yes
Declared context window
128K*
Model type
LLM (dense)*
Declared modalities
Text → Text*
openai

GPT-4o mini

Models
Context window
128,000 tokens
Maximum output
16,384 tokens
Open weights
No
Maximum input
128,000 tokens*
mistral

Mistral Nemo

Models
Context window
128,000 tokens
Maximum output
128,000 tokens
Open weights
Yes
Reasoning
No
google

Gemma 2 27B

Models
Context window
8,192 tokens
Maximum output
2,048 tokens
Open weights
Yes
Reasoning
No
google

gemma-2-27b

Models
Open weights
Yes
Model license
gemma
Checkpoint tensor payload
101.43 GiB
google

gemma-2-9b

Models
Open weights
Yes
Model license
gemma
Checkpoint tensor payload
34.43 GiB
anthropic

Claude 3.5 Sonnet

Models
Open weights
No*
alibaba

Qwen2-72B

Models
Open weights
Yes*
mistral

Codestral (latest)

Models
Context window
256,000 tokens
Maximum output
4,096 tokens
Open weights
Yes
Reasoning
No
mistral

Codestral-22B-v0.1

Models
Context window
32,768 tokens
Maximum output
8,192 tokens
Open weights
Yes
Reasoning
No
mistral

Mistral 7B v0.3

Models
Context window
32,768 tokens
Maximum output
32,768 tokens
Open weights
Yes
Reasoning
No

* Provisional data