DeepSeek V4 Pro 0813 vs Gemini 3.6 Flash vs Qwen3.8 27B
Gemini 3.6 Flash comes out ahead, 72 to 67 and 66 on our weighted score, though Qwen3.8 27B is 38% cheaper per token.
DeepSeekDeepSeek V4 Pro 0813
67/100- ECI155.9
- Price$0.66 / $1.98
- Context1M
- Our pick
GoogleGemini 3.6 Flash
72/100- ECI154.7
- Price$0.75 / $3.75
- Context1.05M
Alibaba (Qwen)Qwen3.8 27B
66/100- ECI151.8
- Price$0.40 / $2.55
- Context262K
Gemini 3.6 Flash is our pick
Gemini 3.6 Flash is the better all-round choice, scoring 72/100 against DeepSeek V4 Pro 0813 (67) and Qwen3.8 27B (66). It leads on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityDeepSeek V4 Pro 0813Capabilities Index (ECI): DeepSeek V4 Pro 0813 155.9 · Gemini 3.6 Flash 154.7 · Qwen3.8 27B 151.8
- Lowest priceQwen3.8 27BQwen3.8 27B $0.938 · DeepSeek V4 Pro 0813 $0.99 · Gemini 3.6 Flash $1.50 per 1M tokens (3:1 blend)
- Longest contextGemini 3.6 FlashGemini 3.6 Flash 1,048,576 · DeepSeek V4 Pro 0813 1,000,000 · Qwen3.8 27B 262,144 tokens
- Widest inputsGemini 3.6 FlashDeepSeek V4 Pro 0813: Text · Gemini 3.6 Flash: Text, Images, PDFs, Audio, Video · Qwen3.8 27B: Text, Images, Video
- Self-hostingDeepSeek V4 Pro 0813 and Qwen3.8 27BPublishes downloadable weights (MIT)
| Measure | Weight | DeepSeek V4 Pro 0813 | Gemini 3.6 Flash | Qwen3.8 27B |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 84 | 82 | 79 |
| Price | 25% | 48 | 40 | 49 |
| Inputs & features | 15% | 45 | 100 | 70 |
| Context window | 10% | 60 | 61 | 37 |
| Overall | 100% | 67/100 | 72/100 | 66/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | DeepSeek V4 Pro 0813DeepSeek | Gemini 3.6 FlashGoogle | Qwen3.8 27BAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 155.9 (best) | 154.7 | 151.8 |
| ECI rank | #35 of 165 (best) | #42 of 165 | #54 of 165 |
| GPQA DiamondGraduate-level science questions | 91.7% | 94.1% (best) | — |
| FrontierMath Tiers 1–3Research-level mathematics | 64.6% (best) | 59.0% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 98.6% (best) | 94.2% | — |
| SimpleQA VerifiedShort factual questions | 52.9% | 66.2% (best) | — |
| Price per million tokens | |||
| Input | $0.66 | $0.75 | $0.40 (best) |
| Output | $1.98 (best) | $3.75 | $2.55 |
| Cached input | $0.022 (best) | $0.075 | — |
| Blended (3:1) | $0.99 | $1.50 | $0.938 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official DeepSeek API | Official Google API | Median of 49 providers |
| Limits | |||
| Context window | 1,000,000 tokens | 1,048,576 tokens (best) | 262,144 tokens |
| Max output | 384,000 tokens (best) | 65,536 tokens | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | Yes | No |
| Audio | No | Yes | No |
| Video | No | Yes | Yes |
| Reasoning | Yeslow · high · max | Yesminimal · low · medium · high | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | OpenMIT | Proprietary | Open |
| API model ID | deepseek-v4-pro | gemini-3.6-flash | — |
| API providers | 40 | 31 | 53 (best) |
| Released | Aug 13, 2026 | Jul 21, 2026 | Aug 14, 2026 |
| Knowledge cutoff | — | Mar 2026 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- DeepSeek V4 Pro 0813$10.56
- Gemini 3.6 Flash$15.00
- Qwen3.8 27B$9.10
Which should you choose?
Which is better: DeepSeek V4 Pro 0813, Gemini 3.6 Flash or Qwen3.8 27B?
Gemini 3.6 Flash is the better all-round choice, scoring 72/100 against DeepSeek V4 Pro 0813 (67) and Qwen3.8 27B (66). It leads on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, DeepSeek V4 Pro 0813, Gemini 3.6 Flash or Qwen3.8 27B?
Qwen3.8 27B is cheaper at $0.40 input / $2.55 output per million tokens (median across 49 API providers). DeepSeek V4 Pro 0813 costs $0.66 input / $1.98 output per million tokens (official DeepSeek API price); Gemini 3.6 Flash costs $0.75 input / $3.75 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $0.938 per million tokens for Qwen3.8 27B versus $0.99 for DeepSeek V4 Pro 0813 (1.1× as much) and $1.50 for Gemini 3.6 Flash (1.6× as much).
Which scores higher on benchmarks?
DeepSeek V4 Pro 0813 scores higher on the Capabilities Index (ECI): DeepSeek V4 Pro 0813 155.9 (#35 of 165), Gemini 3.6 Flash 154.7 (#42 of 165) and Qwen3.8 27B 151.8 (#54 of 165). The confidence ranges of the top two overlap (154.2–158.1 vs 153.0–156.7), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek V4 Pro 0813, Gemini 3.6 Flash and Qwen3.8 27B yet, so there is no like-for-like coding score. On overall capability, DeepSeek V4 Pro 0813 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 3.6 Flash has the largest context window at 1,048,576 tokens, against 1,000,000 for DeepSeek V4 Pro 0813 and 262,144 for Qwen3.8 27B. Maximum output per response: DeepSeek V4 Pro 0813 up to 384,000, Gemini 3.6 Flash up to 65,536, Qwen3.8 27B up to 32,768 tokens.
Which can read images, PDFs, audio or video?
DeepSeek V4 Pro 0813 accepts text; Gemini 3.6 Flash accepts text, images, PDFs, audio and video; Qwen3.8 27B accepts text, images and video. Gemini 3.6 Flash handles the widest range of inputs.
Are any of these open source?
DeepSeek V4 Pro 0813 and Qwen3.8 27B publishes its weights (MIT) and can be self-hosted; Gemini 3.6 Flash is proprietary.
Which is newer?
Qwen3.8 27B is the newest, released Aug 14, 2026. DeepSeek V4 Pro 0813 came out Aug 13, 2026; Gemini 3.6 Flash came out Jul 21, 2026. Knowledge cutoff: Gemini 3.6 Flash Mar 2026.
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.
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