Quick answer: The
claude-3-5-sonnet-20240620checkpoint scores 49% on SWE-bench Verified, 64% on GPQA Diamond, and 90.7% on HumanEval — the benchmark numbers that made it the dominant coding model of mid-2024. It runs on a 200K-token context window at $3/$15 per million tokens. The October 2024 update (claude-3-5-sonnet-20241022) held the same scores while adding computer use capability.
Where Claude 3.5 Sonnet (June 2024) leads
Where it lags
claude-3-5-sonnet-20241022 (adds computer use) and later Sonnet 4 series modelsBest for: teams that need to reproduce evaluations or maintain a pinned baseline against the June 2024 model checkpoint specifically.
The claude-3-5-sonnet-20240620 checkpoint is the version-pinned model identifier for Anthropic's mid-2024 frontier release. Its headline benchmark numbers: 49% SWE-bench Verified (the first sub-$20/MTok model to cross 49%), 64% GPQA Diamond (matching frontier-tier scientific reasoning), and 90.7% HumanEval — the highest published score at the time of release. It was the first model in the Claude 3.5 family, and set the baseline that subsequent models are measured against.
Anthropic updated this checkpoint on October 22, 2024, releasing claude-3-5-sonnet-20241022 with computer use capability and incremental improvements. The June checkpoint remains available and useful for teams that need exact reproducibility — if you ran evaluations against 20240620 and want to compare to a new model, you need the same checkpoint, not the updated version.
From a Benchgen perspective, the June 2024 checkpoint is a historical reference point: it defines what "frontier-class coding at Sonnet speed" looked like at mid-2024. Teams who collected trajectory data in 2024 using this model can use it as their baseline for measuring how much the landscape has shifted since.
| Field | Value |
|---|---|
| Organization | Anthropic |
| API identifier | claude-3-5-sonnet-20240620 |
| Context window | 200,000 tokens |
| Max output | 8,192 tokens |
| License | Proprietary |
| Release date | June 20, 2024 |
| Knowledge cutoff | April 2024 |
| Modality | Multimodal (text and vision) |
| Computer use | Not supported (added in October 2024 update) |
| Input (per 1M tokens) | Output (per 1M tokens) | |
|---|---|---|
| Anthropic | $3.00 | $15.00 |
Pricing is identical to the October 2024 checkpoint. Prompt caching reduces input costs by up to 90%. Source: Anthropic pricing page.
Claude 3.5 Sonnet (June 2024) has a 200,000-token context window — roughly 300 pages of text — with a maximum output of 8,192 tokens. Specifications are identical to the October 2024 checkpoint; the update added capabilities without changing the context window or pricing.
| Benchmark | Score | Source | Date |
|---|---|---|---|
| SWE-bench Verified | 49.0% | Anthropic model card | 2024-06 |
| GPQA Diamond | 64.0% | Anthropic announcement | 2024-06 |
| HumanEval | 90.7% | Anthropic announcement | 2024-06 |
| MMLU | 88.7% | Anthropic announcement | 2024-06 |
Scores are reported by Anthropic and shown for context. They are not Benchgen measurements.
June 2024 (20240620) | October 2024 (20241022) | |
|---|---|---|
| Computer use | ✗ | ✓ |
| SWE-bench Verified | 49.0% | 49.0% |
| Pricing | $3 / $15 | $3 / $15 |
| Context window | 200K | 200K |
The core intelligence scores are unchanged between the two checkpoints; the October update's main addition is computer use. If your workflow doesn't require computer use, both checkpoints are functionally equivalent for text and vision tasks.
The June 2024 checkpoint's agent profile is well-documented: 64% internal agentic coding task completion at launch, strong multi-file reasoning, and reliable tool-use adherence in the instruction-tuned format. It was the first widely adopted model for Claude-based coding agents and accumulated substantial real-world trajectory data throughout 2024.
For Benchgen users evaluating against historical baselines, this checkpoint is the right choice when consistency across time matters more than maximum capability. Running a Benchgen scan against 20240620 and then against the current Sonnet 4.6 is a clean way to measure how much the landscape has shifted — and to verify that your evaluation harness itself hasn't changed.
from anthropic import Anthropic
client = Anthropic(api_key="YOUR_API_KEY")
# Pin explicitly to the June 2024 checkpoint for reproducibility
message = client.messages.create(
model="claude-3-5-sonnet-20240620",
max_tokens=1024,
messages=[{"role": "user", "content": "Review this pull request diff..."}],
)
print(message.content[0].text)claude-3-5-sonnet-20240620 model string. Specs and scores sourced from Anthropic's Claude 3.5 Sonnet announcement and the model card addendum. Last updated 2026-06-19.
Claude 3.5 Sonnet (June 2024) is a large language model developed by Anthropic.