DeepSeek V4 Pro 0813 vs Inkling Small
Too close to call on our weighted score (Inkling Small 68, DeepSeek V4 Pro 0813 67). The right pick depends on what you value most.
DeepSeekDeepSeek V4 Pro 0813
67/100- ECI155.9
- Price$0.66 / $1.98
- Context1M
Thinking MachinesInkling Small
68/100- ECI150.5
- Price$0.58 / $1.44
- Context1.05M
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 2 points (Inkling Small 68/100, DeepSeek V4 Pro 0813 67/100), so choose by what matters most for your work: DeepSeek V4 Pro 0813 for raw capability, Inkling Small on price and Inkling Small for long inputs. 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 · Inkling Small 150.5
- Lowest priceInkling SmallInkling Small $0.795 · DeepSeek V4 Pro 0813 $0.99 per 1M tokens (3:1 blend)
- Longest contextInkling SmallInkling Small 1,048,576 · DeepSeek V4 Pro 0813 1,000,000 tokens
- Widest inputsInkling SmallDeepSeek V4 Pro 0813: Text · Inkling Small: Text, Images, Audio
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | DeepSeek V4 Pro 0813 | Inkling Small |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 84 | 77 |
| Price | 25% | 48 | 52 |
| Inputs & features | 15% | 45 | 70 |
| Context window | 10% | 60 | 61 |
| Overall | 100% | 67/100 | 68/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | DeepSeek V4 Pro 0813DeepSeek | Inkling SmallThinking Machines |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 155.9 (best) | 150.5 |
| ECI rank | #35 of 165 (best) | #58 of 165 |
| GPQA DiamondGraduate-level science questions | 91.7% (best) | 88.5% |
| FrontierMath Tiers 1–3Research-level mathematics | 64.6% (best) | 46.3% |
| OTIS Mock AIME 2024–2025Competition mathematics | 98.6% (best) | 90.0% |
| SimpleQA VerifiedShort factual questions | 52.9% (best) | 19.1% |
| Price per million tokens | ||
| Input | $0.66 | $0.58 (best) |
| Output | $1.98 | $1.44 (best) |
| Cached input | $0.022 (best) | $0.116 |
| Blended (3:1) | $0.99 | $0.795 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official DeepSeek API | Official Thinking Machines API |
| Limits | ||
| Context window | 1,000,000 tokens | 1,048,576 tokens (best) |
| Max output | 384,000 tokens | 1,048,576 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | Yes |
| Video | No | No |
| Reasoning | Yeslow · high · max | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | OpenMIT | OpenApache-2.0 |
| API model ID | deepseek-v4-pro | thinkingmachines/Inkling-Small |
| API providers | 40 (best) | 12 |
| Released | Aug 13, 2026 | Jul 30, 2026 |
| Knowledge cutoff | — | — |
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
- Inkling Small$8.68
Which should you choose?
Which is better: DeepSeek V4 Pro 0813 or Inkling Small?
It is close. Our weighted score puts them within 2 points (Inkling Small 68/100, DeepSeek V4 Pro 0813 67/100), so choose by what matters most for your work: DeepSeek V4 Pro 0813 for raw capability, Inkling Small on price and Inkling Small for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, DeepSeek V4 Pro 0813 or Inkling Small?
Inkling Small is cheaper at $0.58 input / $1.44 output per million tokens (official Thinking Machines API price). DeepSeek V4 Pro 0813 costs $0.66 input / $1.98 output per million tokens (official DeepSeek API price). At a typical mix of three input tokens to one output token, that is $0.795 per million tokens for Inkling Small versus $0.99 for DeepSeek V4 Pro 0813 (1.2× 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) and Inkling Small 150.5 (#58 of 165). Their confidence ranges do not overlap (154.2–158.1 vs 147.7–152.4), so the gap is a real one. On individual benchmarks: GPQA Diamond — DeepSeek V4 Pro 0813 91.7%, Inkling Small 88.5%; FrontierMath Tiers 1–3 — DeepSeek V4 Pro 0813 64.6%, Inkling Small 46.3%; OTIS Mock AIME 2024–2025 — DeepSeek V4 Pro 0813 98.6%, Inkling Small 90.0%; SimpleQA Verified — DeepSeek V4 Pro 0813 52.9%, Inkling Small 19.1%.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek V4 Pro 0813 and Inkling Small 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. Both support tool calling for agent workflows.
Which has the bigger context window?
Inkling Small has the largest context window at 1,048,576 tokens, against 1,000,000 for DeepSeek V4 Pro 0813. Maximum output per response: DeepSeek V4 Pro 0813 up to 384,000, Inkling Small up to 1,048,576 tokens.
Which can read images, PDFs, audio or video?
DeepSeek V4 Pro 0813 accepts text; Inkling Small accepts text, images and audio. Inkling Small handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights (MIT and Apache-2.0), so you can self-host them.
Which is newer?
DeepSeek V4 Pro 0813 is the newest, released Aug 13, 2026. Inkling Small came out Jul 30, 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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