DeepSeek-V3.1 vs Gemini 2.5 Flash Preview 05-20 vs GPT OSS 120B
Gemini 2.5 Flash Preview 05-20 comes out ahead, 67 to 58 and 56 on our weighted score, though GPT OSS 120B is 2.3× cheaper per token.
DeepSeek
DeepSeek-V3.1
56/100- ECI139.8
- Price$0.27 / $1.00
- Context131K
- Our pick
Google
Gemini 2.5 Flash Preview 05-20
67/100- ECI141.5
- Price$0.146 / $1.96
- Context1.05M
OpenAI
GPT OSS 120B
58/100- ECI139.8
- Price$0.15 / $0.60
- Context131K
Gemini 2.5 Flash Preview 05-20 is our pick
Gemini 2.5 Flash Preview 05-20 is the better all-round choice, scoring 67/100 against GPT OSS 120B (58) and DeepSeek-V3.1 (56). It leads on capability, inputs & features and context window. GPT OSS 120B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGemini 2.5 Flash Preview 05-20Capabilities Index (ECI): Gemini 2.5 Flash Preview 05-20 141.5 · DeepSeek-V3.1 139.8 · GPT OSS 120B 139.8
- Lowest priceGPT OSS 120BGPT OSS 120B $0.263 · DeepSeek-V3.1 $0.453 · Gemini 2.5 Flash Preview 05-20 $0.60 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Flash Preview 05-20Gemini 2.5 Flash Preview 05-20 1,048,576 · DeepSeek-V3.1 131,072 · GPT OSS 120B 131,072 tokens
- Widest inputsGemini 2.5 Flash Preview 05-20DeepSeek-V3.1: Text · Gemini 2.5 Flash Preview 05-20: Text, Images, PDFs, Audio, Video · GPT OSS 120B: Text
- Self-hostingDeepSeek-V3.1 and GPT OSS 120BPublishes downloadable weights (MIT License)
| Measure | Weight | DeepSeek-V3.1 | Gemini 2.5 Flash Preview 05-20 | GPT OSS 120B |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 64 | 66 | 64 |
| Price | 25% | 63 | 58 | 74 |
| Inputs & features | 15% | 35 | 90 | 35 |
| Context window | 10% | 25 | 61 | 25 |
| Overall | 100% | 56/100 | 67/100 | 58/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 139.8 | 141.5 (best) | 139.8 |
| ECI rank | #113 of 165 | #106 of 165 (best) | #114 of 165 |
| GPQA DiamondGraduate-level science questions | — | — | 75.8% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 70.8% | 88.9% (best) |
| Price per million tokens | |||
| Input | $0.27 | $0.146 (best) | $0.15 |
| Output | $1.00 | $1.96 | $0.60 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.453 | $0.60 | $0.263 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 19 providers | Median of 2 providers | Median of 65 providers |
| Limits | |||
| Context window | 131,072 tokens | 1,048,576 tokens (best) | 131,072 tokens |
| Max output | 8,192 tokens | 65,536 tokens (best) | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | Yes | No |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenMIT License | Proprietary | Open |
| API model ID | — | — | — |
| API providers | 19 | 2 | 67 (best) |
| Released | Aug 21, 2025 | May 20, 2025 | Aug 5, 2025 |
| Knowledge cutoff | — | Jan 2025 | Jun 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
DeepSeek-V3.1$4.70
Gemini 2.5 Flash Preview 05-20$5.39
GPT OSS 120B$2.70
Which should you choose?
Which is better: DeepSeek-V3.1, Gemini 2.5 Flash Preview 05-20 or GPT OSS 120B?
Gemini 2.5 Flash Preview 05-20 is the better all-round choice, scoring 67/100 against GPT OSS 120B (58) and DeepSeek-V3.1 (56). It leads on capability, inputs & features and context window. GPT OSS 120B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, DeepSeek-V3.1, Gemini 2.5 Flash Preview 05-20 or GPT OSS 120B?
GPT OSS 120B is cheaper at $0.15 input / $0.60 output per million tokens (median across 65 API providers). DeepSeek-V3.1 costs $0.27 input / $1.00 output per million tokens (median across 19 API providers); Gemini 2.5 Flash Preview 05-20 costs $0.146 input / $1.96 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.263 per million tokens for GPT OSS 120B versus $0.453 for DeepSeek-V3.1 (1.7× as much) and $0.60 for Gemini 2.5 Flash Preview 05-20 (2.3× as much).
Which scores higher on benchmarks?
Gemini 2.5 Flash Preview 05-20 scores higher on the Capabilities Index (ECI): Gemini 2.5 Flash Preview 05-20 141.5 (#106 of 165), DeepSeek-V3.1 139.8 (#113 of 165) and GPT OSS 120B 139.8 (#114 of 165). The confidence ranges of the top two overlap (139.3–142.9 vs 135.6–143.2), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek-V3.1, Gemini 2.5 Flash Preview 05-20 and GPT OSS 120B yet, so there is no like-for-like coding score. On overall capability, Gemini 2.5 Flash Preview 05-20 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
Gemini 2.5 Flash Preview 05-20 has the largest context window at 1,048,576 tokens, against 131,072 for DeepSeek-V3.1 and 131,072 for GPT OSS 120B. Maximum output per response: DeepSeek-V3.1 up to 8,192, Gemini 2.5 Flash Preview 05-20 up to 65,536, GPT OSS 120B up to 32,768 tokens.
Which can read images, PDFs, audio or video?
DeepSeek-V3.1 accepts text; Gemini 2.5 Flash Preview 05-20 accepts text, images, PDFs, audio and video; GPT OSS 120B accepts text. Gemini 2.5 Flash Preview 05-20 handles the widest range of inputs.
Are any of these open source?
DeepSeek-V3.1 and GPT OSS 120B publishes its weights (MIT License) and can be self-hosted; Gemini 2.5 Flash Preview 05-20 is proprietary.
Which is newer?
DeepSeek-V3.1 is the newest, released Aug 21, 2025. GPT OSS 120B came out Aug 5, 2025; Gemini 2.5 Flash Preview 05-20 came out May 20, 2025. Knowledge cutoff: Gemini 2.5 Flash Preview 05-20 Jan 2025, GPT OSS 120B Jun 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.