DeepSeek, open weights

# Deepseek Coder v2

> Deepseek Coder v2 by DeepSeek, released June 2024. Ranked #220 of 354 with a Noometry Index of 35.9. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/deepseek-coder-v2
- Last updated: 2026-10-10
- Title: Deepseek Coder v2 Benchmarks, Price & Rank (October 2026)

Deepseek Coder v2 by DeepSeek ranks 220th of 354 ranked models on the Noometry Index as of October 2026, with a score of 35.9. Its strongest category is reasoning, where it ranks 176th.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #220 of 354
- **Index score:** 35.9
- **Evidence:** Confirmed 24 results
- **Provider:** [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek)
- **Released:** June 17, 2024
- **Weights:** Open weights
- **Reasoning:** Unknown
- **Context window:** —
- **Max output:** —
- **Input price:** Not listed
- **Output price:** Not listed
- **Blended price:** Not listed
- **Output speed:** Not measured
- **Value:** Not ranked
- **Knowledge cutoff:** Unknown

## Category scores

Each category score combines every public result we have in that category.

Deepseek Coder v2 category scores

1.  Coding 38.1
2.  Reasoning 23.6
3.  Math 34.9
4.  Knowledge 32.3
5.  Multilingual 36.3
6.  Instruction Following 61.7
7.  Long Context 37.0
8.  Writing & Preference 38.2
9.  020406080

Deepseek Coder v2 category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 38.1 | #183 | 3 |
| [Reasoning](https://noometry.com/best/reasoning) | 23.6 | #176 | 1 |
| [Math](https://noometry.com/best/math) | 34.9 | #190 | 1 |
| [Knowledge](https://noometry.com/best/knowledge) | 32.3 | #212 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 36.3 | #240 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 61.7 | #242 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 37.0 | #224 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 38.2 | #253 | 3 |

## Strengths and weaknesses

Categories where Deepseek Coder v2 places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Deepseek Coder v2: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 23.6 | −0.0 | #176 of 350, top 51% |
| [Coding](https://noometry.com/best/coding) | 38.1 | −0.6 | #183 of 340, top 54% |
| [Math](https://noometry.com/best/math) | 34.9 | −1.7 | #190 of 327, top 59% |

### Weakest categories

Deepseek Coder v2: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Writing & Preference](https://noometry.com/best/writing) | 38.2 | −15.6 | #253 of 312, top 82% |
| [Multilingual](https://noometry.com/best/multilingual) | 36.3 | −11.2 | #240 of 297, top 81% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 61.7 | −9.6 | #242 of 305, top 80% |

## Closest competitors

The models ranked just above and below Deepseek Coder v2. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Deepseek Coder v2
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Grok Build 0.1](https://noometry.com/models/grok-build-0-1) | #216 | 36.4 | $1.25 | — | [Compare](https://noometry.com/compare/deepseek-coder-v2-vs-grok-build-0-1) |
| [gpt-oss-120b](https://noometry.com/models/gpt-oss-120b) | #217 | 36.3 | $0.0703 | 55 | [Compare](https://noometry.com/compare/deepseek-coder-v2-vs-gpt-oss-120b) |
| [Mistral Medium](https://noometry.com/models/mistral-medium) | #218 | 36.3 | $3 | 68 | [Compare](https://noometry.com/compare/deepseek-coder-v2-vs-mistral-medium) |
| [GPT-4.1](https://noometry.com/models/gpt-4-1) | #219 | 35.9 | $3.50 | 116 | [Compare](https://noometry.com/compare/deepseek-coder-v2-vs-gpt-4-1) |
| [C4ai Aya Expanse 32b](https://noometry.com/models/c4ai-aya-expanse-32b) | #221 | 35.9 | — | — | [Compare](https://noometry.com/compare/c4ai-aya-expanse-32b-vs-deepseek-coder-v2) |
| [Llama 3.1 Nemotron 51b Instruct](https://noometry.com/models/llama-3-1-nemotron-51b-instruct) | #222 | 35.9 | — | — | [Compare](https://noometry.com/compare/deepseek-coder-v2-vs-llama-3-1-nemotron-51b-instruct) |
| [Nemotron 4 340b Instruct](https://noometry.com/models/nemotron-4-340b-instruct) | #223 | 35.9 | — | — | [Compare](https://noometry.com/compare/deepseek-coder-v2-vs-nemotron-4-340b-instruct) |
| [Llama 3.1 Tulu 3 8b](https://noometry.com/models/llama-3-1-tulu-3-8b) | #224 | 35.7 | — | — | [Compare](https://noometry.com/compare/deepseek-coder-v2-vs-llama-3-1-tulu-3-8b) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

Deepseek Coder v2 Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [BigCodeBench Instruct](https://noometry.com/benchmarks/bigcodebench-instruct) | 48.2% | #8 of 64, top 13% |  | [BigCodeBench](https://bigcode-bench.github.io/) | 2024-06-17 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1251 | #225 of 294, top 77% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [BigCodeBench Complete](https://noometry.com/benchmarks/bigcodebench-complete) | 59.7% | #5 of 66, top 8% |  | [BigCodeBench](https://bigcode-bench.github.io/) | 2024-06-17 |
| [HumanEval+](https://noometry.com/benchmarks/humaneval-plus) | 82.3% | #9 of 45, top 20% |  | [EvalPlus](https://evalplus.github.io/leaderboard.html) |  |
| [MBPP+](https://noometry.com/benchmarks/mbpp-plus) | 75.1% | #4 of 38, top 11% |  | [EvalPlus](https://evalplus.github.io/leaderboard.html) |  |

### Reasoning

Deepseek Coder v2 Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1207 | #234 of 297, top 79% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [WinoGrande](https://noometry.com/benchmarks/winogrande) | 83.7% | #8 of 43, top 19% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Math

Deepseek Coder v2 Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1241 | #219 of 285, top 77% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [GSM8K](https://noometry.com/benchmarks/gsm8k) | 85.8% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GSM8K](https://noometry.com/benchmarks/gsm8k) | 94.5% | Best of 38 |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Knowledge

Deepseek Coder v2 Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1181 | #226 of 273, top 83% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [ARC (AI2) Challenge](https://noometry.com/benchmarks/arc-challenge) | 64.3% | #20 of 39, top 52% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Multilingual

Deepseek Coder v2 Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1182 | #240 of 297, top 81% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1201 | #233 of 285, top 82% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1185 | #196 of 223, top 88% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1164 | #200 of 231, top 87% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1126 | #182 of 211, top 87% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1104 | #189 of 213, top 89% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1188 | #239 of 283, top 85% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1153 | #203 of 226, top 90% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Deepseek Coder v2 Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1180 | #243 of 298, top 82% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Deepseek Coder v2 Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1219 | #234 of 291, top 81% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Deepseek Coder v2 Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1191 | #246 of 297, top 83% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1120 | #259 of 295, top 88% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1177 | #244 of 295, top 83% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## Compare Deepseek Coder v2

-   [Deepseek Coder v2 vs GPT-4.1](https://noometry.com/compare/deepseek-coder-v2-vs-gpt-4-1)
-   [Deepseek Coder v2 vs C4ai Aya Expanse 32b](https://noometry.com/compare/c4ai-aya-expanse-32b-vs-deepseek-coder-v2)
-   [Deepseek Coder v2 vs Mistral Medium](https://noometry.com/compare/deepseek-coder-v2-vs-mistral-medium)
-   [Deepseek Coder v2 vs Llama 3.1 Nemotron 51b Instruct](https://noometry.com/compare/deepseek-coder-v2-vs-llama-3-1-nemotron-51b-instruct)
-   [Deepseek Coder v2 vs gpt-oss-120b](https://noometry.com/compare/deepseek-coder-v2-vs-gpt-oss-120b)
-   [Deepseek Coder v2 vs Nemotron 4 340b Instruct](https://noometry.com/compare/deepseek-coder-v2-vs-nemotron-4-340b-instruct)
-   [Deepseek Coder v2 vs GPT-6 Astra](https://noometry.com/compare/deepseek-coder-v2-vs-gpt-6-astra)
-   [Deepseek Coder v2 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-deepseek-coder-v2)
-   [Deepseek Coder v2 vs Gemini 3.8 Flash](https://noometry.com/compare/deepseek-coder-v2-vs-gemini-3-8-flash)
-   [Deepseek Coder v2 vs Kimi K3](https://noometry.com/compare/deepseek-coder-v2-vs-kimi-k3)
-   [Deepseek Coder v2 vs Grok 4.6](https://noometry.com/compare/deepseek-coder-v2-vs-grok-4-6)
-   [Deepseek Coder v2 vs Qwen3.8 Max](https://noometry.com/compare/deepseek-coder-v2-vs-qwen3-8-max)
-   [Deepseek Coder v2 vs GLM-5.3](https://noometry.com/compare/deepseek-coder-v2-vs-glm-5-3)
-   [Deepseek Coder v2 vs Muse Spark 1.3](https://noometry.com/compare/deepseek-coder-v2-vs-muse-spark-1-3)

## Other DeepSeek models

-   [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro)54.3
-   [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash)53.6
-   [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash)52.8
-   [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp)44.3
-   [DeepSeek-V3.1-Terminus](https://noometry.com/models/deepseek-v3-1-terminus)43.1
-   [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1)42.8
-   [DeepSeek-R1](https://noometry.com/models/deepseek-r1)42.3
-   [DeepSeek-V3.2-Speciale](https://noometry.com/models/deepseek-v3-2-speciale)39.7

## Frequently asked questions

### How good is Deepseek Coder v2?

Deepseek Coder v2 by DeepSeek ranks 220th of 354 ranked models on the Noometry Index as of October 2026, with a score of 35.9. Its strongest category is reasoning, where it ranks 176th.

### Is Deepseek Coder v2 open source?

Yes. Deepseek Coder v2's weights are downloadable; check the license for commercial terms.

### What are Deepseek Coder v2's strengths and weaknesses?

Relative to other ranked models, Deepseek Coder v2 places best in reasoning, coding, math and lowest in writing & preference, multilingual, instruction following.

### What is Deepseek Coder v2 best at?

Its best category is reasoning, where it ranks 176th on Noometry.

### Cite this page

Noometry. (2026). Deepseek Coder v2 benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/deepseek-coder-v2

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/deepseek-coder-v2.md).