Natural2Code
Models write Python functions in HumanEval format from new prompts kept off the web. Unit tests decide correctness.
In-house Google DeepMind set that was never released, built to avoid web leakage.
- Level
- School Students, from grade school to high school
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Code A program or patch run against tests.
DiffusionGemma 26B A4B leads with 94% among models released by Jun 2026
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
The newest model with a score here came out in Jun 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 1
DiffusionGemma 26B A4B 94%
- 2
Gemini 2.0 Flash Dec 2024 92.9%
- 3
Gemma 3 27B 84.5%
- 4
Gemini 1.5 Pro May 2024 82.6%
- 5
Gemma 3 12B 80.7%
- 6
Gemini 1.5 Pro Feb 2024 77.7%
- 7
Gemini 1.0 Ultra 74.9%
- 8
Gemma 3 4B 70.3%
- 9
Gemma 3 1B 56%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 94% | Jul 2026 | Model card | |
| 2 | | 92.9% | Dec 2024 | Model card | |
| 3 | | 84.5% | Mar 2025 | Model card | |
| 4 | | 82.6% | May 2024 | Model card | |
| 5 | | 80.7% | Mar 2025 | Model card | |
| 6 | | 77.7% | Feb 2024 | Model card | |
| 7 | | 74.9% | Dec 2023 | Model card | |
| 8 | | 70.3% | Mar 2025 | Model card | |
| 9 | | 56% | Mar 2025 | Model card |
5 models have held number one since its release in Dec 2023
Lab claims count from the day the card came out, independent runs from the model’s release.
The best score passed 85% in Dec 2024
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs dropped it from launch posts once the best score passed 85%
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 12 Mar 2025 | 84.5 | Natural2Code 0-shot (IT) | |
| 11 Dec 2024 | 92.9 | Natural2Code | |
| 14 May 2024 | 82.6 | Natural2Code chat preamble, 0-shot | |
| 15 Feb 2024 | 77.7 | Natural2Code chat preamble, 0-shot | |
| 6 Dec 2023 | 74.9 | Natural2Code, 0-shot |
5 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 31 Jul 2026 | | 94 | Natural2Code (internal), TD, 90.1 no-think (Table 3) | Capabilities |
| 25 Mar 2025 | | 70.3 | N2C (Natural2Code), IT, 0-shot pass@1 (Table 18) | Capabilities |
| 25 Mar 2025 | | 84.5 | N2C (Natural2Code), IT, 0-shot pass@1 (Table 18) | Capabilities |
| 25 Mar 2025 | | 56 | N2C (Natural2Code), IT, 0-shot pass@1 (Table 18) | Capabilities |
| 25 Mar 2025 | | 80.7 | N2C (Natural2Code), IT, 0-shot pass@1 (Table 18) | Capabilities |
More in Coding
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- SWE-bench Multilingual In use 300 GitHub-issue tasks across nine programming languages in SWE-bench format. Patch graded by repository tests. Claude Opus 5.5 93.9%
- LiveCodeBench v6 In use Competitive programming problems collected after model cutoffs from LeetCode, AtCoder, Codeforces. Scored pass@1 on hidden tests.
DeepSeek-V4-Pro 93.5%
- DeepSWE In use 113 original long-horizon engineering tasks across 91 repos and five languages, written from scratch. Hand-written verifiers accept alternative solutions. GPT-6 Astra 74.1%
- SciCode In use Scientist-curated research coding problems split into subproblems across natural sciences. Code checked against test cases.
Seed2.1 Pro 59.8%
- Codeforces rating In use Model solves recent Codeforces contest problems. An Elo-style rating is computed from simulated contest performance.
DeepSeek V4.1 Flash 3,471