Claude 4.5 Benchmarks on Hugging Face and Industry Coding Standards
Based on analysis of Hugging Face data and leading industry benchmarks, Claude 4.5 demonstrates leading performance in coding tasks. Here is a detailed overview.
SWE-bench Verified: Real-World Engineering Tasks
SWE-bench Verified: Software Engineering Benchmark Comparison
SWE-bench Verified remains the gold standard for evaluating AI's ability to solve real-world programming problems. It includes 500 real GitHub issues from popular open-source projects. Claude Opus 4.5 set a new record with a score of 80.9%, becoming the first model to exceed the 80% threshold. This represents a 65% increase compared to Claude 3.5 Sonnet (49%) and surpasses all competing models, including GPT-5.1 (76.3%) and Gemini 3 Pro (76.2%).
This achievement is particularly significant because Claude Opus 4.5 outperformed all engineering candidates on Anthropic's internal hiring tests, completing a two-hour test with higher scores than any human has ever achieved.
HumanEval: Code Generation from Signatures
HumanEval Code Generation Benchmark (Pass@1)
HumanEval evaluates models' ability to generate functions based on their descriptions. According to the Hugging Face September 2025 Mathematics & Coding Benchmarks report:
- GPT-5: 89.4% (leader)
- Claude 4.0 Sonnet: 88.7% (second place)
- Gemini 2.5 Pro: 88.2%
- CodeLlama-4: 87.9%
- Claude 4.5 Haiku: 85.2%
While the Claude family doesn't lead this benchmark, its results are in the upper quartile, indicating high competence in algorithmic thinking and code syntax.
Code Arena Leaderboard: Real Developer Performance
Recently, Claude Opus 4.5 (thinking-32k) took first place on the Code Arena WebDev leaderboard (LMArena), surpassing Gemini 3 Pro. This leadership is based on developer evaluations of real-world web development scenarios, reflecting the model's practical utility for professional workflows.
GSM8K: Mathematical Reasoning
GSM8K Mathematical Reasoning Benchmark Comparison
While technically not a pure coding benchmark, mathematical reasoning is critical for algorithmic tasks:
- GPT-5: 97.8%
- Claude 4.0 Sonnet: 97.2%
- Gemini 2.5 Pro: 97.1%
- Claude 4.5 Haiku: 95.3%
All models achieve nearly perfect performance, indicating maturity in this area.
Specialized Coding Benchmarks
MGSM (Multilingual Mathematical Reasoning)
According to the Hugging Face report:
- GPT-5: 96.1%
- Claude 4.0 Sonnet: 95.8%
- Gemini 2.5 Pro: 95.4%
- Claude 4.5 Haiku: 94.7%
Terminal-Bench (Command Line)
Claude Opus 4.5: Multi-Benchmark Performance Profile
Claude Opus 4.5 achieves 59.3% on Terminal-Bench, exceeding Gemini 3 Pro (54.2%) and GPT-5.1 (47.6%). This demonstrates the model's superiority in command-line environments and automation scenarios.
These capabilities are practically implemented in the new Claude Code CLI, which leverages the model's high terminal proficiency to execute complex engineering tasks directly from the command line. For a deep dive into its installation and features, see the full breakdown at https://mixait.ru/claude-code-cli/.
OSWorld (Computer Use and UI Navigation)
Claude Opus 4.5 scores 66.3%, representing a three-fold improvement over Claude 3.5 (22%), showing significant progress in the ability to interact with applications through interfaces.
Key Architectural Features of Claude 4.5
Effort Parameter: A unique feature of Claude Opus 4.5 allows control over the model's reasoning depth:
- At medium level: achieves Sonnet 4.5's best result while using 76% fewer output tokens
- At high level: exceeds Sonnet 4.5 by 4.3 percentage points while using 48% fewer tokens
This hybrid reasoning architecture combines extended thinking (like o1) with standard Claude inference, ensuring competitiveness with reasoning-specialized models while maintaining general-purpose capabilities.
Multilingual Coding Support
Claude Opus 4.5 demonstrates a leading position on SWE-bench Multilingual, where it leads tests on 7 out of 8 programming languages. It achieves 89.4% on Aider Polyglot coding tasks, surpassing Sonnet 4.5's result (78.8%). This confirms the model's versatility in working with Python, JavaScript, Java, C++, and other major programming languages.
Speed vs. Quality Comparison
In a practical Composer 1 vs Claude 4.5 comparison:
| Metric | Composer 1 | Claude 4.5 |
|---|---|---|
| Tokens/sec speed | 250 | 63 |
| Latency to first token | <1 sec | 1.8–3 sec |
| Token usage (typical task) | ~200K | ~427K |
| Total execution time | 8–9 min | 14–16 min |
| Note | Faster, more efficient | Deeper, better documentation |
The choice between Composer's speed and Claude 4.5's depth depends on workflow: for rapid prototyping Composer has the advantage, but for production code with exception handling requirements Claude demonstrates clear superiority.
Industry Standards Conclusion
Claude 4.5 (especially Opus 4.5) has set new standards for coding models:
- SWE-bench Verified 80.9% — first model to exceed 80%, with 65% improvement from previous versions
- Code Arena WebDev #1 — practical leadership in developer evaluations
- Multilingual leadership — 7 out of 8 programming languages on SWE-bench Multilingual
- Token efficiency — achieves competitor results using fewer computations
- Versatility — superior performance in coding, mathematics, computer use, and automation
These benchmarks are available on Hugging Face and in official reports from Anthropic, making Claude 4.5 a justified choice for engineers seeking the best-performing model for coding tasks as of December 2025.
