Who ranks #1 on the Codeforces leaderboard?
As of August 20, 2026, DeepSeek-V4-Flash-Max by DeepSeek ranks #1 on Codeforces at 100%. API pricing is $0.14/M input and $0.28/M output.
As of August 20, 2026, DeepSeek-V4-Flash-Max is #1 for Codeforces at 100%. Ranked by the Codeforces score 13 models in this index have a published Codeforces score. Codeforces leaderboard: rank models by Codeforces next to live API token prices.
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As of August 20, 2026, DeepSeek-V4-Flash-Max by DeepSeek is #1 for Codeforces at 100%. Ranked by the Codeforces score This board also tracks Codeforces. Next on the same board: DeepSeek-V4-Pro-Max and DeepSeek-V4-Flash-0423. This codeforces leaderboard ranks models by Codeforces. Scores come from public evals. Prices are the live API rates in the table above.
Sources: OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Anthropic Claude API pricing (https://platform.claude.com/docs/en/about-claude/pricing); Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing)
| Rank | Model | Codeforces | Input /M | Output /M |
|---|---|---|---|---|
| 1 | DeepSeek-V4-Flash-Max | 100% | $0.14 | $0.28 |
| 2 | DeepSeek-V4-Pro-Max | 100% | $1.74 | $3.48 |
| 3 | DeepSeek-V4-Flash-0423 | 93.9% | $0.10 | $0.20 |
| 4 | Qwen3.5-122B-A10B | 85.1% | $0.40 | $3.20 |
| 5 | Qwen3.5-35B-A3B | 82.2% | $0.25 | $2.00 |
| 6 | GPT OSS 120B | 82.1% | $0.09 | $0.45 |
| 7 | Qwen3.5-27B | 80.7% | $0.30 | $2.40 |
| 8 | DeepSeek-V3.2 | 79.5% | $0.23 | $0.34 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, DeepSeek-V4-Flash-Max by DeepSeek ranks #1 on Codeforces at 100%. API pricing is $0.14/M input and $0.28/M output.
The current Codeforces ranking as of August 20, 2026 is 1. DeepSeek-V4-Flash-Max at 100%; 2. DeepSeek-V4-Pro-Max at 100%; 3. DeepSeek-V4-Flash-0423 at 93.9%.
GPT OSS 20B is the cheapest scored model on this codeforces leaderboard at $0.05/M input and $0.20/M output ($0.25 blended). DeepSeek-V4-Flash-Max still leads Codeforces at 100%.
Not automatically. DeepSeek-V4-Flash-Max leads Codeforces, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Codeforces against input/output price, context window, and related evals.
Scores and API prices on this page are refreshed from published evals and provider rates. The snapshot is labeled August 20, 2026. Treat it as a current index, not a one-off blog post.
Codeforces is a public LLM eval (the Codeforces score). This page ranks models that have published a score, next to live API prices.
This page is the Codeforces leaderboard. Models are sorted by Codeforces, with input and output token prices on the same row so you can weigh score against cost. Official boards often omit price; that comparison is the point of this index.
Official eval pages own the methodology. This page keeps the published Codeforces score next to live API $/M so you can pick a production SKU, not only a trophy number.