DeepSeek model product
DeepSeek-V2.5
5 is an upgraded large language model that combines general-purpose and coding capabilities.
Updated Sep 8, 2026. Default version: DeepSeek-V2.5
LLMBoard Score13.7DeepSeek-V2.5
Coverage20%11 benchmark families
Context window8.2KTokens
Official input priceN/AOfficial price unavailable
DeepSeek-V2.5 Capability Profile
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
DeepSeek-V2.5 Benchmark Results
Benchmark scores for DeepSeek-V2.5.
Sort by
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkAider | Score72.20% | Rank01 | Participants4 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkDS-Arena-Code | Score63.10% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkDS-FIM-Eval | Score78.30% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench(01-09) | Score41.80% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkAlignBench | Score80.40% | Rank02 | Participants4 | Percentile66.67% | EvidenceC | Evaluated |
| BenchmarkHumanEval-Mul | Score73.80% | Rank02 | Participants2 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkAlpacaEval 2.0 | Score50.50% | Rank03 | Participants4 | Percentile33.33% | EvidenceC | Evaluated |
| BenchmarkMT-Bench | Score90.20% | Rank03 | Participants12 | Percentile81.82% | EvidenceC | Evaluated |
| BenchmarkBBH | Score84.30% | Rank05 | Participants12 | Percentile63.64% | EvidenceC | Evaluated |
| BenchmarkArena Hard | Score76.20% | Rank08 | Participants26 | Percentile72.00% | EvidenceC | Evaluated |
| BenchmarkGSM8k | Score95.10% | Rank11 | Participants48 | Percentile78.72% | EvidenceC | Evaluated |
| BenchmarkHumanEval | Score89.00% | Rank16 | Participants66 | Percentile76.92% | EvidenceC | Evaluated |
| BenchmarkMATH | Score74.70% | Rank29 | Participants71 | Percentile60.00% | EvidenceC | Evaluated |
| BenchmarkMMLU | Score80.40% | Rank60 | Participants101 | Percentile41.00% | EvidenceC | Evaluated |
| BenchmarkSWE-Bench Verified | Score16.80% | Rank112 | Participants113 | Percentile0.89% | EvidenceC | Evaluated |
| BenchmarkLM Arena Text | Score1,293.70 rating | Rank164 | Participants210 | Percentile22.01% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text Style Control | Score1,323.21 rating | Rank166 | Participants210 | Percentile21.05% | EvidenceA | Evaluated |
DeepSeek-V2.5 Arena Results
Preference and agent-evaluation results for the default version.
Sort by
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenatext | Categoryjapanese | Rank135 | Rating / score1,227.86 | Votes161 | ObservationsN/A | Result date |
| Arenatext style control | Categoryjapanese | Rank139 | Rating / score1,252.10 | Votes161 | ObservationsN/A | Result date |
| Arenatext | Categorykorean | Rank140 | Rating / score1,209.14 | Votes344 | ObservationsN/A | Result date |
| Arenatext style control | Categorykorean | Rank144 | Rating / score1,254.58 | Votes344 | ObservationsN/A | Result date |
| Arenatext | Categoryfrench | Rank146 | Rating / score1,288.77 | Votes222 | ObservationsN/A | Result date |
| Arenatext style control | Categorycreative writing | Rank146 | Rating / score1,309.31 | Votes1,090 | ObservationsN/A | Result date |
| Arenatext | Categorychinese | Rank150 | Rating / score1,317.47 | Votes446 | ObservationsN/A | Result date |
| Arenatext style control | Categorychinese | Rank150 | Rating / score1,355.44 | Votes446 | ObservationsN/A | Result date |
| Arenatext | Categorygerman | Rank151 | Rating / score1,257.88 | Votes140 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry writing and literature and language | Rank153 | Rating / score1,314.30 | Votes1,930 | ObservationsN/A | Result date |
| Arenatext style control | Categoryfrench | Rank154 | Rating / score1,325.39 | Votes222 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry entertainment and sports and media | Rank155 | Rating / score1,301.84 | Votes1,216 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry software and it services | Rank155 | Rating / score1,364.68 | Votes1,688 | ObservationsN/A | Result date |
| Arenatext | Categorymath | Rank156 | Rating / score1,288.48 | Votes1,031 | ObservationsN/A | Result date |
| Arenatext style control | Categorylonger query | Rank156 | Rating / score1,337.19 | Votes1,037 | ObservationsN/A | Result date |
| Arenatext style control | Categoryrussian | Rank156 | Rating / score1,322.55 | Votes1,034 | ObservationsN/A | Result date |
| Arenatext | Categoryrussian | Rank157 | Rating / score1,288.52 | Votes1,034 | ObservationsN/A | Result date |
| Arenatext style control | Categorycoding | Rank157 | Rating / score1,374.30 | Votes1,079 | ObservationsN/A | Result date |
| Arenatext style control | Categorygerman | Rank157 | Rating / score1,289.50 | Votes140 | ObservationsN/A | Result date |
| Arenatext | Categorycreative writing | Rank158 | Rating / score1,284.91 | Votes1,090 | ObservationsN/A | Result date |
| Arenatext | Categoryexpert | Rank158 | Rating / score1,266.24 | Votes441 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry entertainment and sports and media | Rank158 | Rating / score1,274.96 | Votes1,216 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry software and it services | Rank158 | Rating / score1,313.53 | Votes1,688 | ObservationsN/A | Result date |
| Arenatext | Categorylonger query | Rank158 | Rating / score1,300.59 | Votes1,037 | ObservationsN/A | Result date |
| Arenatext | Categorycoding | Rank159 | Rating / score1,309.73 | Votes1,079 | ObservationsN/A | Result date |
| Arenatext | Categoryhard prompts english | Rank160 | Rating / score1,299.04 | Votes1,132 | ObservationsN/A | Result date |
| Arenatext | Categoryinstruction following | Rank160 | Rating / score1,279.73 | Votes2,970 | ObservationsN/A | Result date |
| Arenatext | Categoryhard prompts | Rank161 | Rating / score1,289.13 | Votes1,790 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry medicine and healthcare | Rank161 | Rating / score1,291.29 | Votes291 | ObservationsN/A | Result date |
| Arenatext | Categorymulti turn | Rank161 | Rating / score1,296.82 | Votes1,178 | ObservationsN/A | Result date |
DeepSeek-V2.5 Pricing
Official vendor API pricing appears first, followed by individual provider offers.
- Official API
- N/A
- Official provider
- N/A
- Lowest third-party
- N/A
- Tracked offerings
- 0
No provider prices
The default version has no current input or output token prices.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
DeepSeek-V2.5 Runtime Performance
Provider-specific output speed and catalog latency for DeepSeek-V2.5. Runtime does not affect the capability score.
Sort by
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderDeepSeek | Output Speed100.00 tok/s | Catalog Latency0.50 s | Max Input8.2K | Max Output8.2K | Updated |
| ProviderDeepInfra | Output Speed63.00 tok/s | Catalog Latency0.50 s | Max Input8.2K | Max Output8.2K | Updated |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
DeepSeek-V2.5 Specifications
Technical details for the model's default version.
- Version
- DeepSeek-V2.5
- Released
- May 8, 2024
- Knowledge cutoff
- Unknown
- Parameters
- 236B
- Context window
- 8.2K
- Max output
- 8.2K
- Inputs
- text
- Outputs
- text
- Open weights
- Yes
- License
- deepseek
DeepSeek-V2.5 Versions
Available versions of this model. The score column identifies the version used in the overall ranking.
Sort by
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionDeepSeek-V2.5 | Released | LLMBoard13.68 | Parameters236B | Context8.2K | Max output8.2K | Open weightsYes | Licensedeepseek |
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What is DeepSeek-V2.5?
Key information about DeepSeek-V2.5 and its available data.
5 combines DeepSeek-V2-Chat and DeepSeek-Coder-V2-Instruct, integrating general and coding abilities. It is optimized for writing, instruction following, and alignment with human preferences.
Data as of 2026-09-08.
FAQ
Common questions about DeepSeek-V2.5.
When was DeepSeek-V2.5 released?
DeepSeek-V2.5's default version was released on May 8, 2024.
How much does DeepSeek-V2.5 cost?
No official standard PAYG price is currently available for DeepSeek-V2.5.
Who created DeepSeek-V2.5?
DeepSeek-V2.5 was created by DeepSeek.
What is the context window for DeepSeek-V2.5?
The default version has a 8.2K token context window.
Is DeepSeek-V2.5 open weight?
Yes. The default version is marked as open weight under deepseek.
How many API providers offer DeepSeek-V2.5?
No provider offering is currently linked to the default version.