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ProgramBench leaderboard

Claude Opus 5.5 leads
18.5%
models measured
22
lead over #2
+9.5 pts
median
0.0%

Leader on ProgramBench · read November 5

programbench.py


        # ProgramBench, read November 5
        leaders = {
            "Claude Opus 5.5": 18.5%,    "Claude Fable 5.1": 9.0%,    "Muse Wonder": 5.5%,
        }
      

On November 5, 2026, 22 of our catalog's models had a ProgramBench result, and Anthropic Claude Opus 5.5 led with 18.5%, ahead of Anthropic Claude Fable 5.1 at 9.0%.

ProgramBench asks whether language models can rebuild programs from scratch. Given only a compiled binary and its documentation, an agent must design and write a complete codebase that reproduces the original program's behavior. It has 200 tasks and comes from Meta Superintelligence Labs, Stanford University and Harvard University. The number is Resolved: the share of tasks solved in full, judged by hidden behavioral tests.

How to read the score: The authors note that behavioral tests can never cover every input. Their separate "Almost" column (95% of the tests passed) is not shown here. The board runs every model in the mini-SWE-agent harness.

Role in the index

A coding board we show beside the Vibe Coding Index, not inside it: the index keeps the six boards it was defined on, so a score does not move every time a board is added. Read the methodology

22 models with a result

Original board: ProgramBench
ProgramBench results for models in the catalog
# Model Result Evidence Coding index Output $/Mtok
1 Claude Opus 5.5Anthropic 18.5% 88.9 $20.00
2 Claude Fable 5.1Anthropic 9.0% 84.3 $50.00
3 Muse WonderMeta 5.5% 72.0 $20.00
4 GPT-6 AstraOpenAI 5.0% 85.1 $50.00
5 Claude Opus 5Anthropic 4.5% 81.6 $25.00
6 Muse Spark 1.3Meta 2.5% 57.4 $4.25
7 GPT-5.6 SolOpenAI 1.0% 70.7 $20.00
8 Gemini 3.6 FlashGoogle 0.5% 62.5 $3.75
9 GPT-5.5OpenAI 0.5% 67.9 $30.00
10 Claude Haiku 4.5Anthropic 0.0% 31.4 $5.00
11 Claude Opus 4.6Anthropic 0.0% 57.2 $25.00
12 Claude Opus 4.7Anthropic 0.0% 67.5 $25.00
13 Claude Opus 4.8Anthropic 0.0% 62.8 $25.00
14 Claude Sonnet 4.6Anthropic 0.0% 55.0 $15.00
15 Gemini 3.5 FlashGoogle 0.0% 39.8 $9.00
16 Gemini 3.7 FlashGoogle 0.0% 54.0 $3.75
17 Muse Spark 1.1Meta 0.0% 70.3 $4.25
18 Muse Spark 1.2Meta 0.0% 50.9 $4.25
19 GPT-5 MiniOpenAI 0.0% 34.2 $2.00
20 GPT-5.4OpenAI 0.0% 64.4 $15.00
21 GPT-5.4 MiniOpenAI 0.0% 35.8 $4.50
22 GLM 5.2Z.ai 0.0% 61.1 $4.40

Only models in our catalog are listed, and each appears once with its best published run. 22 rows were read from the source on November 5, 2026, and rows that match no catalog model are left out.

Results reported by model makers

The board above is ProgramBench's own run. Model makers also report ProgramBench in their release announcements; those numbers are below, with the date and the announcement. They are not independent and do not count toward any index.

ProgramBench scores reported by model makers
Rank Model Score Setting Reported by Date
1 Fugu Ultra v2 81 Not published Sakana June 24, 2026 (model release) · read from the maker's chart
2 Kimi K3 77.8 max Moonshot AI July 16, 2026 (model release)
3 GLM 5.2 63.7 Not published Z.ai June 16, 2026 (model release)
4 Kimi K2.7 Code 53.6 Not published Moonshot AI June 12, 2026 (model release)
5 GLM 5.1 50.9 Not published Z.ai June 16, 2026 (model release)
6 Muse Wonder 50 max Meta October 12, 2026 (model release)
7 Kimi K2.6 48.3 Not published Moonshot AI June 12, 2026 (model release)
8 DeepSeek V4.1 Flash 1017 29.1 Not published DeepSeek October 17, 2026 (model release)
9 MiMo-V2.6-Pro 26.5 Not published Xiaomi September 21, 2026 (model release)
10 MiMo-V2.6-Flash 26 Not published Xiaomi September 21, 2026 (model release)
11 DeepSeek V4.1 Flash 20.3 Not published DeepSeek October 17, 2026 (model release)
12 Hy4 preview 17.5 Not published Tencent August 28, 2026 (model release) · read from the maker's chart
13 MiMo-V2.5-Pro 12.5 Not published Xiaomi September 21, 2026 (model release)
14 Hy3 3 Not published Tencent August 28, 2026 (model release) · read from the maker's chart