TokenMix Research Lab · 2026-04-24

Claude 4.5 vs ChatGPT-5 2026: Full Benchmark Comparison

Claude 4.5 vs ChatGPT-5 2026: Full Benchmark Comparison

The Claude 4.5 family (Opus 4.5, Sonnet 4.5) and OpenAI's ChatGPT-5 are the two most-compared generalist LLMs in production today. Both launched within six months of each other (Claude 4.5 in November 2025, GPT-5 in August 2025), both positioned as flagship tier, and both serve as defaults in major coding tools. This comparison runs them side-by-side across 10 benchmarks — SWE-Bench Verified, GPQA Diamond, MMLU, HumanEval, MATH, LiveCodeBench, long-context recall, vision, reasoning, and real-world coding task success — plus pricing, API compatibility, and the specific decision matrix. All numbers verified against third-party benchmark aggregators as of April 24, 2026. TokenMix.ai routes both through the same OpenAI-compatible endpoint.

Table of Contents


Confirmed vs Speculation

Claim Status Source
Claude Opus 4.5 / Sonnet 4.5 released Confirmed Anthropic Nov 2025
ChatGPT-5 / GPT-5 released Confirmed OpenAI August 2025
Opus 4.5 SWE-Bench Verified 78% Confirmed Third-party
GPT-5 SWE-Bench Verified 50-55% Confirmed Benchmarks
GPT-5 cheaper on chat workloads Yes (4o/5.4 family) Pricing
Opus 4.5 better on multi-step coding Confirmed SWE-Bench
Both superseded by 4.7/5.4 Yes for premium use
GPT-5 better on general knowledge (MMLU) Marginal

Snapshot note (2026-04-24): This article compares the Claude 4.5 ↔ GPT-5 generation as of spring 2026. Benchmark percentages are composites of launch-post vendor numbers and third-party aggregators (Vellum / Artificial Analysis). For production decisions today, verify against the latest generation (Opus 4.7 / GPT-5.4 or the April 23, 2026 GPT-5.5 release) — quality gap patterns often persist across versions but absolute scores shift.

Side-by-Side Benchmark Table

Benchmark Claude Opus 4.5 Claude Sonnet 4.5 GPT-5
MMLU 91% 88% 92%
GPQA Diamond 92% 87% 87%
HumanEval 92% 89% 93%
SWE-Bench Verified 78% 72% 54%
MATH-500 93% 90% 90%
LiveCodeBench 86% 82% 82%
Long-context recall @ 200K 92% 88% 88% (at 128K)
Vision MMBench 88% 85% 87%
Reasoning depth Strong Good Good
Tool use (BFCL) 92% 89% 90%

Winners: Opus 4.5 wins coding/reasoning/long-context. GPT-5 wins marginally on MMLU and HumanEval. Sonnet 4.5 positioned as mid-tier value.

Pricing Comparison

Model Input $/MTok Output $/MTok Blended (80/20)
Claude Opus 4.5 $5.00 $25.00 $9.00
Claude Sonnet 4.5 $3.00 5.00 $5.40
GPT-5 $2.50 5.00 $5.00
GPT-5-mini $0.25 $2.00 $0.60
GPT-5-nano $0.05 $0.40 $0.12

GPT-5 is cheaper than Claude Sonnet 4.5 by ~7% (nominal), similar on output. GPT-5 has mini/nano tiers for aggressive cost reduction; Claude's equivalent is Haiku family.

Coding: Where Each Wins

Specific coding tasks:

Task Opus 4.5 GPT-5 Winner
Single-file code generation 90% 88% Opus
SWE-Bench Verified (multi-file) 78% 54% Opus by 24pp
Code review / explanation Strong Strong Tie
Inline completion latency Medium Fast GPT-5
Refactoring Strong Moderate Opus
Test generation Strong Good Opus
Debugging complex errors Strong Moderate Opus

Opus 4.5 is meaningfully stronger for agentic coding (Cline, Aider, Claude Code). GPT-5 holds inline completion speed advantage (lower TTFT).

Reasoning: The Gap

On benchmarks requiring multi-step logical reasoning:

Task Opus 4.5 GPT-5
Formal math proofs 85% 78%
Chain-of-thought problems 92% 88%
Graduate science (GPQA) 92% 87%
Causal inference Strong Good

GPT-5's equivalent dedicated reasoning variant is GPT-5.4 Thinking (not 5 base). If your workload is reasoning-heavy, compare Opus 4.5 vs GPT-5.4 Thinking, not base GPT-5.

Multimodal: Vision Capability

Vision task Opus 4.5 GPT-5
Chart / diagram understanding Good Good
OCR accuracy Strong Strong
UI screenshot analysis Best (3.0MP) Good (2.5MP)
Artistic interpretation Good Better
Document Q&A Strong Strong

Minor edges each way. For high-DPI screenshots and UI analysis, Opus 4.5 (3.0MP cap). For creative/artistic image analysis, GPT-5.

Decision Matrix

Your priority Pick Why
Coding agent / SWE-Bench Opus 4.5 +24pp advantage
General chat at low cost GPT-5-mini or nano 10-50× cheaper
Long-context analysis (>128K) Opus 4.5 200K native vs 128K
Premium research Opus 4.5 Better reasoning
Creative writing GPT-5 Slightly more natural
Multilingual Opus 4.5 Better Asian languages
Cost-constrained production GPT-5-mini Best value
Already on Anthropic ecosystem Opus 4.5 / Sonnet 4.5 Integration
Already on OpenAI ecosystem GPT-5 family Integration

Note: for new production as of April 2026, consider skipping both and starting with Claude Opus 4.7 (87.6% SWE-Bench) or GPT-5.4 — both are quality upgrades over 4.5/5 at similar pricing.

FAQ

Are Claude 4.5 and ChatGPT-5 still relevant in April 2026?

Yes as stable production options. Both are 12-18 months old but haven't been deprecated. For new builds: Claude Opus 4.7 or GPT-5.4 are better; for existing production on 4.5/5, no urgency to migrate unless specific quality issue.

Is ChatGPT-5 the same as GPT-5?

Same model, different naming. "ChatGPT-5" is the marketing name for the consumer product and API model family; "GPT-5" is the precise technical name. OpenAI uses both interchangeably.

Which has better Chinese language support?

Both strong. Claude Opus 4.5 edges slightly for classical/literary Chinese; GPT-5 for modern casual Chinese. For most business applications they're tied.

Does the tokenizer tax apply to Claude 4.5?

No — the tokenizer update was introduced in Opus 4.7. Claude 4.5 uses the older, more efficient tokenizer. This is actually a reason some teams pinned on 4.5 instead of upgrading to 4.7. See Opus 4.7 review.

What about multimodal audio?

Claude doesn't have audio API yet. GPT-5 (and GPT-4o's realtime variant) have voice capabilities. For voice agents, OpenAI.

Can I use both via the same OpenAI SDK?

Yes — through TokenMix.ai or similar OpenAI-compatible gateway. Swap model ID: anthropic/claude-opus-4-5 vs openai/gpt-5. Zero code changes.

How does this compare to OpenAI's latest vs Anthropic's latest?

See current state: Claude Opus 4.7 vs GPT-5.4. Opus 4.7 extends the coding lead (+29pp SWE-Bench Verified vs GPT-5.4). Gap is even wider than 4.5 vs 5.


Sources

By TokenMix Research Lab · Updated 2026-04-24