TokenMix Research Lab · 2026-04-25

claude-sonnet-4-5-20250929 vs 4-20250514: Version Diff Guide

claude-sonnet-4-5-20250929 vs 4-20250514: Version Diff Guide

Anthropic maintains explicit date-stamped model identifiers so developers can pin to specific versions. claude-sonnet-4-5-20250929 (released September 29, 2025) and claude-sonnet-4-20250514 (released May 14, 2025) are the two most-searched Sonnet 4 family snapshots. This guide covers the concrete differences, when to use each, and why most teams should migrate — or skip ahead to Sonnet 4.6. All data verified against Anthropic's official migration guides and model documentation as of April 2026.

Table of Contents


Quick Answer: Which to Use

Version pinning matters for reproducibility. For capability, always prefer the latest.


What Each Model Is

claude-sonnet-4-20250514: The original Claude Sonnet 4, released May 14, 2025. First mid-tier Sonnet of the Claude 4 family. Positioned as the quality-per-dollar workhorse alongside Opus 4 (frontier) and Haiku 4 (budget).

claude-sonnet-4-5-20250929: Sonnet 4.5, released September 29, 2025. A point release that improved benchmarks across the board without changing API surface. Knowledge cutoff pushed to 2025-01-31.

Both are part of the Claude 4 generation architecture. Sonnet 4.6 (2026-Q1) succeeded them both.


Side-by-Side Comparison

Attribute Sonnet 4 (20250514) Sonnet 4.5 (20250929)
Release date May 14, 2025 September 29, 2025
Input price / MTok $3.00 $3.00 (same)
Output price / MTok 5.00 5.00 (same)
Context window 200K tokens 200K tokens
Max output 64K tokens 64K tokens
Knowledge cutoff earlier 2025 January 31, 2025
Multimodal (vision) Yes Yes
API breaking changes None
Relative quality baseline Better on 6 major benchmarks

Pricing is identical. The only reason to stay on Sonnet 4 rather than 4.5 is bit-exact reproducibility of prior outputs — no cost or capability reason.


Benchmark Differences

Sonnet 4.5 improves on Sonnet 4 across specific benchmark categories:

Benchmark Sonnet 4 Sonnet 4.5 Delta
AIME 2025 (math) Better
GPQA (grad-level QA) Better
MMMLU (multilingual MMLU) Better
TAU-bench Airline Better
TAU-bench Retail Better
Terminal-Bench Better

Anthropic didn't publish exact point deltas, but across the six benchmarks, Sonnet 4.5 leads consistently.

What didn't change meaningfully: overall MMLU, basic coding benchmarks, routine Q&A. If your workload is dominated by these, the upgrade is marginal.

What did change meaningfully: math reasoning (AIME), graduate-level QA (GPQA), and multi-step agent benchmarks (TAU). If your use case is reasoning- or agent-heavy, the upgrade is more noticeable.


API Compatibility and Migration

Zero breaking changes. Migration is a model identifier swap:

# Before
response = client.messages.create(
    model="claude-sonnet-4-20250514",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello"}],
)

# After (no other changes)
response = client.messages.create(
    model="claude-sonnet-4-5-20250929",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello"}],
)

All request fields, response format, tool use syntax, vision capabilities, streaming behavior work identically.

What to test anyway after migration:

These are cosmetic, not breaking. For most production apps, migration is a 5-minute change.


Supported LLM Providers and Model Routing

Both versions are accessible via:

Through TokenMix.ai, you can access both claude-sonnet-4-20250514 and claude-sonnet-4-5-20250929 alongside the current claude-sonnet-4-6, claude-opus-4-7, GPT-5.5, DeepSeek V4-Pro, Kimi K2.6, Gemini 3.1 Pro, and 300+ other models through a single API key. Useful for comparing output across versions or across providers on the same prompts.

from openai import OpenAI

client = OpenAI(
    api_key="your-tokenmix-key",
    base_url="https://api.tokenmix.ai/v1",
)

# A/B across versions
for model in ["claude-sonnet-4-20250514", "claude-sonnet-4-5-20250929", "claude-sonnet-4-6"]:
    response = client.chat.completions.create(
        model=model,
        messages=[{"role": "user", "content": test_prompt}],
    )
    print(f"{model}: {response.choices[0].message.content[:200]}")

Should You Just Use Sonnet 4.6?

Almost certainly yes.

Sonnet 4.6 (released early 2026) is:

Unless you have specific reproducibility requirements, migrate straight to 4.6. No reason to intermediate through 4.5.

For newest projects: Sonnet 4.6 is the right default.

For legacy maintenance: match the version in production when troubleshooting; upgrade when convenient.


When Specific Version Pinning Matters

Three scenarios where date-stamped IDs are critical:

1. Research reproducibility. If you publish benchmark results or analysis based on specific model behavior, pin the date-stamped ID. Un-pinned identifiers (claude-sonnet-4 without date) may point to different snapshots over time.

2. A/B testing infrastructure. If you're running experiments comparing model versions, date-stamped IDs guarantee you're comparing what you think you're comparing.

3. Regulatory / compliance contexts. Some regulated environments (finance, healthcare) require audit trails of exactly which model version generated which output. Date-stamped IDs provide this.

For most production apps, you don't need date-stamped pinning. Use the latest version identifier and enjoy automatic improvements.


Known Limitations

Sonnet 4 specifically:

Sonnet 4.5 specifically:

Both versions:


FAQ

Is there a price difference between Sonnet 4 and Sonnet 4.5?

No. Both are $3/ 5 per million tokens. Anthropic kept pricing identical across the point release.

Do my prompts need to change when migrating?

Almost never. Both models follow instructions similarly. For rare cases where output style differs, minor prompt tweaks may help, but the API contract is unchanged.

What about pinning to claude-sonnet-4-5 (without date)?

Un-dated identifiers (like claude-sonnet-4-5) may resolve to whichever snapshot Anthropic considers current. For reproducibility, use the full date-stamped ID.

When will these versions be deprecated?

Anthropic hasn't announced specific end-of-life dates. Based on typical lifecycle (12-24 months for legacy models), expect API removal within 2026-2027. Plan migration to Sonnet 4.6 or later.

Is Sonnet 4.5 strictly better than Sonnet 4?

On benchmarks yes. In practice, for routine workloads, the difference is often not visible to users. For reasoning-heavy or agent-heavy tasks, 4.5 is noticeably better.

What's the best migration path?

If on Sonnet 4: jump directly to Sonnet 4.6 (skip 4.5). If stuck on Sonnet 4 for compliance/reproducibility: stay, upgrade later. Both are price-identical to 4.6.

Does vision work the same in both versions?

Yes. Same image input format, same resolution support, same quality tier.

Can I use both versions in the same app?

Yes. Route different paths through different versions if needed. Through TokenMix.ai, switching versions is a model identifier change in the request.

What about Sonnet 3.5 / 3.7 / earlier versions?

Those are Claude 3 family, separate generation. Sonnet 3.5 remains available; performance is meaningfully lower than Sonnet 4+. Don't use for new work.


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Author: TokenMix Research Lab | Last Updated: April 25, 2026 | Data Sources: Anthropic migration guide, Anthropic models overview, LLM-stats Sonnet 4 vs 4.5 comparison, Anthropic Migrating to Claude 4.5, TokenMix.ai multi-version Claude access