GPT-5.2 vs Inkling vs Gemini 3 Pro Preview
Gemini 3 Pro Preview comes out ahead, 67 to 61 and 59 on our weighted score, and it is the cheaper option too.
OpenAIGPT-5.2
61/100- ECI153.5
- Price$1.75 / $14.00
- Context400K
Thinking MachinesInkling
59/100- ECI148.6
- Price$3.74 / $9.36
- Context1.05M
- Our pick
GoogleGemini 3 Pro Preview
67/100- ECI153.0
- Price$2.00 / $12.00
- Context1.05M
Gemini 3 Pro Preview is our pick
Gemini 3 Pro Preview is the better all-round choice, scoring 67/100 against GPT-5.2 (61) and Inkling (59). It leads on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-5.2Capabilities Index (ECI): GPT-5.2 153.5 · Gemini 3 Pro Preview 153.0 · Inkling 148.6
- Lowest priceGemini 3 Pro PreviewGemini 3 Pro Preview $4.50 · GPT-5.2 $4.81 · Inkling $5.14 per 1M tokens (3:1 blend)
- Longest contextInkling and Gemini 3 Pro PreviewInkling 1,048,576 · Gemini 3 Pro Preview 1,048,576 · GPT-5.2 400,000 tokens
- Widest inputsGemini 3 Pro PreviewGPT-5.2: Text, Images · Inkling: Text, Images, Audio · Gemini 3 Pro Preview: Text, Images, PDFs, Audio, Video
- Self-hostingInklingPublishes downloadable weights (Apache-2.0)
| Measure | Weight | GPT-5.2 | Inkling | Gemini 3 Pro Preview |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 83 | 76 | 82 |
| Price | 25% | 18 | 16 | 19 |
| Inputs & features | 15% | 70 | 70 | 100 |
| Context window | 10% | 44 | 61 | 61 |
| Overall | 100% | 61/100 | 59/100 | 67/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-5.2OpenAI | InklingThinking Machines | Gemini 3 Pro PreviewGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 153.5 (best) | 148.6 | 153.0 |
| ECI rank | #38 of 148 (best) | #57 of 148 | #39 of 148 |
| GPQA DiamondGraduate-level science questions | 91.4% | 88.3% | 92.6% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 67.4% (best) | 33.3% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 96.1% (best) | 88.9% | 91.4% |
| SWE-bench VerifiedFixing real GitHub issues | 73.8% (best) | — | 72.9% |
| SimpleQA VerifiedShort factual questions | 37.1% | 40.3% (best) | — |
| Price per million tokens | |||
| Input | $1.75 (best) | $3.74 | $2.00 |
| Output | $14.00 | $9.36 (best) | $12.00 |
| Cached input | $0.175 (best) | $0.748 | — |
| Blended (3:1) | $4.81 | $5.14 | $4.50 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official Thinking Machines API | Median of 2 providers |
| Limits | |||
| Context window | 400,000 tokens | 1,048,576 tokens (best) | 1,048,576 tokens (best) |
| Max output | 128,000 tokens | 1,048,576 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | Yes | Yes |
| Video | No | No | Yes |
| Reasoning | Yeslow · medium · high · xhigh | Yeslow · medium · high · xhigh · max | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Proprietary | OpenApache-2.0 | Proprietary |
| API model ID | gpt-5.2 | thinkingmachines/Inkling:peft:262144 | — |
| API providers | 21 | 23 (best) | 3 |
| Released | Dec 11, 2025 | Jul 15, 2026 | Nov 18, 2025 |
| Knowledge cutoff | Aug 31, 2025 | — | Jan 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GPT-5.2$45.50
- Inkling$56.12
- Gemini 3 Pro Preview$44.00
Which should you choose?
Which is better: GPT-5.2, Inkling or Gemini 3 Pro Preview?
Gemini 3 Pro Preview is the better all-round choice, scoring 67/100 against GPT-5.2 (61) and Inkling (59). It leads on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-5.2, Inkling or Gemini 3 Pro Preview?
Gemini 3 Pro Preview is cheaper at $2.00 input / $12.00 output per million tokens (median across 2 API providers). GPT-5.2 costs $1.75 input / $14.00 output per million tokens (official OpenAI API price); Inkling costs $3.74 input / $9.36 output per million tokens (official Thinking Machines API price). At a typical mix of three input tokens to one output token, that is $4.50 per million tokens for Gemini 3 Pro Preview versus $4.81 for GPT-5.2 (1.1× as much) and $5.14 for Inkling (1.1× as much).
Which scores higher on benchmarks?
GPT-5.2 scores higher on the Capabilities Index (ECI): GPT-5.2 153.5 (#38 of 148), Gemini 3 Pro Preview 153.0 (#39 of 148) and Inkling 148.6 (#57 of 148). The confidence ranges of the top two overlap (151.7–155.4 vs 150.6–155.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemini 3 Pro Preview 92.6%, GPT-5.2 91.4%, Inkling 88.3%; OTIS Mock AIME 2024–2025 — GPT-5.2 96.1%, Gemini 3 Pro Preview 91.4%, Inkling 88.9%.
Which is better for coding?
There are no published SWE-bench Verified results for Inkling yet, so there is no like-for-like coding score. On overall capability, GPT-5.2 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?
Inkling and Gemini 3 Pro Preview have the largest context windows (1,048,576 and 1,048,576 tokens), against 400,000 for GPT-5.2. Maximum output per response: GPT-5.2 up to 128,000, Inkling up to 1,048,576, Gemini 3 Pro Preview up to 65,536 tokens.
Which can read images, PDFs, audio or video?
GPT-5.2 accepts text and images; Inkling accepts text, images and audio; Gemini 3 Pro Preview accepts text, images, PDFs, audio and video. Gemini 3 Pro Preview handles the widest range of inputs.
Are any of these open source?
Inkling publishes its weights (Apache-2.0) and can be self-hosted; GPT-5.2 and Gemini 3 Pro Preview is proprietary.
Which is newer?
Inkling is the newest, released Jul 15, 2026. GPT-5.2 came out Dec 11, 2025; Gemini 3 Pro Preview came out Nov 18, 2025. Knowledge cutoff: GPT-5.2 Aug 31, 2025, Gemini 3 Pro Preview Jan 2025.
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 Oct 4, 2026.
