Model Comparisons
LLM comparisons backed by real evaluation data
Every comparison is powered by PeerLM's blind evaluation methodology. No opinions, no vibes — just data from anonymized, head-to-head testing.
Blind Testing
Models are anonymized. Evaluators never know which model produced which response.
Multi-Criteria Scoring
Each response is scored across weighted criteria specific to the use case.
Real Prompts
Comparisons use realistic prompts and system instructions, not synthetic benchmarks.
Qwen: Qwen3.8 Max (0902) vs Z.ai: GLM 5.3: Coding Performance with 10 Evaluators
This comparison evaluates the relative coding performance of Qwen: Qwen3.8 Max (0902) and Z.ai: GLM 5.3 across 4 specific test cases using 10 expert evaluators.
Qwen: Qwen3.8 Max (0902)
1.7
Z.ai: GLM 5.3
8.3
OpenAI: GPT-6 Astra vs DeepSeek: DeepSeek V4.1 Flash: Coding Performance with 10 Evaluators
A comparative analysis of OpenAI: GPT-6 Astra vs DeepSeek: DeepSeek V4.1 Flash evaluating coding performance with 10 evaluators based on relative judge preferences.
OpenAI: GPT-6 Astra
2.1
DeepSeek: DeepSeek V4.1 Flash
7.9
OpenAI: GPT-6 Astra vs Qwen: Qwen3.8 Max (0902): Coding Performance with 10 Evaluators
We compare OpenAI: GPT-6 Astra and Qwen: Qwen3.8 Max (0902) in a specialized assessment of Coding Performance with 10 Evaluators.
OpenAI: GPT-6 Astra
4.2
Qwen: Qwen3.8 Max (0902)
5.8
OpenAI: GPT-6 Astra vs Z.ai: GLM 5.3: Coding Performance with 10 Evaluators
A comparative analysis of OpenAI: GPT-6 Astra vs Z.ai: GLM 5.3, focusing on coding performance with 10 evaluators using relative preference rankings.
OpenAI: GPT-6 Astra
2.5
Z.ai: GLM 5.3
7.5
Anthropic: Claude Fable 5.1 vs Z.ai: GLM 5.3: Coding Performance with 10 Evaluators
A comparative look at Anthropic: Claude Fable 5.1 vs Z.ai: GLM 5.3 regarding Coding Performance with 10 Evaluators, highlighting differences in latency and judge preference.
Anthropic: Claude Fable 5.1
4.9
Z.ai: GLM 5.3
5.1
Anthropic: Claude Fable 5.1 vs DeepSeek: DeepSeek V4.1 Flash: Coding Performance with 10 Evaluators
A comparative analysis of Anthropic: Claude Fable 5.1 vs DeepSeek: DeepSeek V4.1 Flash based on Coding Performance with 10 Evaluators.
Anthropic: Claude Fable 5.1
4.6
DeepSeek: DeepSeek V4.1 Flash
5.4
Anthropic: Claude Fable 5.1 vs Qwen: Qwen3.8 Max (0902): Coding Performance with 10 Evaluators
A comparative analysis of Anthropic: Claude Fable 5.1 and Qwen: Qwen3.8 Max (0902) based on Coding Performance with 10 Evaluators.
Anthropic: Claude Fable 5.1
5.3
Qwen: Qwen3.8 Max (0902)
4.7
Anthropic: Claude Fable 5.1 vs OpenAI: GPT-6 Astra: Coding Performance with 10 Evaluators
A comparative analysis of Anthropic: Claude Fable 5.1 vs OpenAI: GPT-6 Astra, focusing on coding performance with 10 evaluators across 4 distinct test cases.
Anthropic: Claude Fable 5.1
7.1
OpenAI: GPT-6 Astra
2.9
Claude Opus 5 vs OpenAI: GPT-5.6 Sol Pro: Coding Performance with 10 Evaluators
PeerLM's latest comparative analysis of Claude Opus 5 vs OpenAI: GPT-5.6 Sol Pro evaluates coding performance using 10 specialized evaluators.
Anthropic: Claude Opus 5
8.6
OpenAI: GPT-5.6 Sol Pro
1.4
Claude Opus 5 vs xAI: Grok 4.5: Coding Performance with 10 Evaluators
We evaluated Claude Opus 5 vs xAI: Grok 4.5 in a rigorous Coding Performance with 10 Evaluators test to determine the top performer for software engineering tasks.
Anthropic: Claude Opus 5
9.7
SpaceXAI: Grok 4.5
0.3
Claude Opus 5 vs OpenAI: GPT-5.6 Sol: Coding Performance with 10 Evaluators
In our latest benchmark focused on Coding Performance with 10 Evaluators, we compare Claude Opus 5 vs OpenAI: GPT-5.6 Sol to determine the superior model for development tasks.
Anthropic: Claude Opus 5
9.1
OpenAI: GPT-5.6 Sol
0.9
Anthropic: Claude Fable 5 vs Anthropic: Claude Opus 4.8 vs OpenAI: GPT-5.5: Coding Performance with 10 Evaluators
We put Anthropic: Claude Fable 5 vs Anthropic: Claude Opus 4.8 vs OpenAI: GPT-5.5 to the test in a rigorous Coding Performance with 10 Evaluators benchmark.
Anthropic: Claude Fable 5
7.9
Anthropic: Claude Opus 4.8
5.6
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