Gemini 4 Argon vs GPT-6.1 Sol
Too close to call on our weighted score (Gemini 4 Argon 74, GPT-6.1 Sol 72). The right pick depends on what you value most.
Google
Gemini 4 Argon
74/100- ECI166.1
- Price$2.00 / $10.00
- Context1.05M
OpenAI
GPT-6.1 Sol
72/100- ECI167.8
- Price$2.00 / $10.00
- 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 (Gemini 4 Argon 74/100, GPT-6.1 Sol 72/100), so choose by what matters most for your work: GPT-6.1 Sol for raw capability and Gemini 4 Argon on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-6.1 SolCapabilities Index (ECI): GPT-6.1 Sol 167.8 · Gemini 4 Argon 166.1
- Lowest priceSame priceGemini 4 Argon $4.00 · GPT-6.1 Sol $4.00 per 1M tokens (3:1 blend)
- Longest contextAbout the sameGPT-6.1 Sol 1,050,000 · Gemini 4 Argon 1,048,576 tokens
- Widest inputsGemini 4 ArgonGemini 4 Argon: Text, Images, PDFs, Audio, Video · GPT-6.1 Sol: Text, Images, PDFs
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | Gemini 4 Argon | GPT-6.1 Sol |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 96 | 99 |
| Price | 25% | 20 | 20 |
| Inputs & features | 15% | 100 | 80 |
| Context window | 10% | 61 | 61 |
| Overall | 100% | 74/100 | 72/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 166.1 | 167.8 (best) |
| ECI rank | #7 of 165 | #4 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 96.4% (best) | 95.4% |
| FrontierMath Tiers 1–3Research-level mathematics | 86.0% | 93.7% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 100% | 100% |
| SimpleQA VerifiedShort factual questions | 76.0% (best) | 73.9% |
| Price per million tokens | ||
| Input | $2.00 | $2.00 |
| Output | $10.00 | $10.00 |
| Cached input | $0.10 | $0.10 |
| Blended (3:1) | $4.00 | $4.00 |
| Long-context rate | Same rate | Over 272K: $4.00 / $15.00 |
| Price source | Official Google API | Official OpenAI API |
| Limits | ||
| Context window | 1,048,576 tokens | 1,050,000 tokens (best) |
| Max output | 65,536 tokens | 128,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | Yes | Yes |
| Audio | Yes | No |
| Video | Yes | No |
| Reasoning | Yeslow · medium · high | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | gemini-4-argon | gpt-6.1-sol |
| API providers | 24 | 33 (best) |
| Released | Oct 13, 2026 | Sep 29, 2026 |
| Knowledge cutoff | Mar 2026 | Apr 30, 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Gemini 4 Argon$40.00
GPT-6.1 Sol$40.00
Which should you choose?
Which is better: Gemini 4 Argon or GPT-6.1 Sol?
It is close. Our weighted score puts them within 2 points (Gemini 4 Argon 74/100, GPT-6.1 Sol 72/100), so choose by what matters most for your work: GPT-6.1 Sol for raw capability and Gemini 4 Argon on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Gemini 4 Argon or GPT-6.1 Sol?
Gemini 4 Argon and GPT-6.1 Sol cost the same: $2.00 input / $10.00 output per million tokens.
Which scores higher on benchmarks?
GPT-6.1 Sol scores higher on the Capabilities Index (ECI): GPT-6.1 Sol 167.8 (#4 of 165) and Gemini 4 Argon 166.1 (#7 of 165). The confidence ranges of the top two overlap (164.3–172.5 vs 163.1–170.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemini 4 Argon 96.4%, GPT-6.1 Sol 95.4%; FrontierMath Tiers 1–3 — GPT-6.1 Sol 93.7%, Gemini 4 Argon 86.0%; OTIS Mock AIME 2024–2025 — Gemini 4 Argon 100%, GPT-6.1 Sol 100%; SimpleQA Verified — Gemini 4 Argon 76.0%, GPT-6.1 Sol 73.9%.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 4 Argon and GPT-6.1 Sol yet, so there is no like-for-like coding score. On overall capability, GPT-6.1 Sol 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?
Their context windows are effectively the same size: Gemini 4 Argon 1,048,576 and GPT-6.1 Sol 1,050,000 tokens. Maximum output per response: Gemini 4 Argon up to 65,536, GPT-6.1 Sol up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Gemini 4 Argon accepts text, images, PDFs, audio and video; GPT-6.1 Sol accepts text, images and PDFs. Gemini 4 Argon handles the widest range of inputs.
Are any of these open source?
No. Gemini 4 Argon and GPT-6.1 Sol are proprietary and only available through APIs and apps.
Which is newer?
Gemini 4 Argon is the newest, released Oct 13, 2026. GPT-6.1 Sol came out Sep 29, 2026. Knowledge cutoff: Gemini 4 Argon Mar 2026, GPT-6.1 Sol Apr 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.