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Model Comparison

DeepSeek-V4-Flash-0731 vs GPT OSS 20BWhich is better in 2026?

Comparing DeepSeek-V4-Flash-0731 and GPT OSS 20B across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-V4-Flash-0731 vs GPT OSS 20B — which is better?

DeepSeek-V4-Flash-0731 (by DeepSeek) and GPT OSS 20B (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, GPT OSS 20B is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4-Flash-0731 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek-V4-Flash-0731 if…

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose GPT OSS 20B if…

  • cost matters — it's about 1.3x cheaper per token

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Flash-0731 and GPT OSS 20Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT OSS 20B costs less

For input processing, DeepSeek-V4-Flash-0731 ($0.09/1M tokens) is 1.8x more expensive than GPT OSS 20B ($0.05/1M tokens).

For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 1.1x cheaper than GPT OSS 20B ($0.20/1M tokens).

In conclusion, DeepSeek-V4-Flash-0731 is more expensive than GPT OSS 20B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Aug 06 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Flash-0731
Input tokens$0.09
Output tokens$0.18
Best providerDeepinfra
OpenAI
GPT OSS 20B
Input tokens$0.05
Output tokens$0.20
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

283.1B diff

DeepSeek-V4-Flash-0731 has 283.1B more parameters than GPT OSS 20B, making it 1354.5% larger.

DeepSeek
DeepSeek-V4-Flash-0731
304.0Bparameters
OpenAI
GPT OSS 20B
20.9Bparameters
304.0B
DeepSeek-V4-Flash-0731
20.9B
GPT OSS 20B

Context Window

Maximum input and output token capacity

DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to GPT OSS 20B's 131,072 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 65,536 tokens, while GPT OSS 20B is limited to 32,768 tokens.

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output65,536 tokens
OpenAI
GPT OSS 20B
Input131,072 tokens
Output32,768 tokens
Thu Aug 06 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V4-Flash-0731 is licensed under MIT, while GPT OSS 20B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V4-Flash-0731

MIT

Open weights

GPT OSS 20B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0731 was released on 2026-07-31, while GPT OSS 20B was released on 2025-08-05.

DeepSeek-V4-Flash-0731 is 12 months newer than GPT OSS 20B.

DeepSeek-V4-Flash-0731

Jul 31, 2026

6 days ago

12mo newer
GPT OSS 20B

Aug 5, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V4-Flash-0731 is available from DeepInfra, Fireworks, Novita. GPT OSS 20B is available from Novita, Fireworks, Groq, OpenAI.

DeepSeek-V4-Flash-0731

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
novita logo
Novita
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M

GPT OSS 20B

novita logo
Novita
Input Price:Input: $0.05/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (1,048,576 tokens)
Less expensive output tokens
OpenAI
Less expensive input tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-0731 and GPT OSS 20B side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
GPT OSS 20B
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V4-Flash-0731
OpenAI
GPT OSS 20B

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs GPT OSS 20B.

Which is better, DeepSeek-V4-Flash-0731 or GPT OSS 20B?

DeepSeek-V4-Flash-0731 (DeepSeek) and GPT OSS 20B (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V4-Flash-0731 compare to GPT OSS 20B in benchmarks?

DeepSeek-V4-Flash-0731 scores Terminal-Bench 2.1: 82.7%, CyberGym: 76.7%, Toolathlon: 70.3%, DSBench-FullStack: 68.7%, DSBench-Hard: 59.6%. GPT OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%.

Is DeepSeek-V4-Flash-0731 cheaper than GPT OSS 20B?

GPT OSS 20B is 1.8x cheaper for input tokens. DeepSeek-V4-Flash-0731 costs $0.09/M input and $0.18/M output via deepinfra. GPT OSS 20B costs $0.05/M input and $0.20/M output via novita.

What are the context window sizes for DeepSeek-V4-Flash-0731 and GPT OSS 20B?

DeepSeek-V4-Flash-0731 supports 1.0M tokens and GPT OSS 20B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Flash-0731 and GPT OSS 20B?

Key differences include context window (1.0M vs 131K), input pricing ($0.09 vs $0.05/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-0731 and GPT OSS 20B?

DeepSeek-V4-Flash-0731 is developed by DeepSeek and GPT OSS 20B is developed by OpenAI.

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