GPT-5.6 Sol vs Mercury Edit 2
GPT-5.6 Sol comes out ahead, 40 to 35 on our weighted score, though Mercury Edit 2 is 21× cheaper per token.
- Our pick
OpenAI
GPT-5.6 Sol
40/100- ECI161.8
- Price$4.00 / $20.00
- Context1.05M
Inception
Mercury Edit 2
35/100- ECI—
- Price$0.25 / $0.75
- Context32K
Add a model
Make it a three-way comparison.
GPT-5.6 Sol is our pick
GPT-5.6 Sol is the better all-round choice, scoring 40/100 against Mercury Edit 2 (35). It leads on inputs & features and context window. Mercury Edit 2 wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceMercury Edit 2Mercury Edit 2 $0.375 · GPT-5.6 Sol $8.00 per 1M tokens (3:1 blend)
- Longest contextGPT-5.6 SolGPT-5.6 Sol 1,050,000 · Mercury Edit 2 32,000 tokens
- Widest inputsGPT-5.6 SolGPT-5.6 Sol: Text, Images, PDFs · Mercury Edit 2: Text
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | GPT-5.6 Sol | Mercury Edit 2 |
|---|---|---|---|
| Price | 50% | 7 | 70 |
| Inputs & features | 30% | 80 | 0 |
| Context window | 20% | 61 | 0 |
| Overall | 100% | 40/100 | 35/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 161.8 | — |
| ECI rank | #8 of 148 | — |
| GPQA DiamondGraduate-level science questions | 93.5% | — |
| FrontierMath Tiers 1–3Research-level mathematics | 89.1% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 100% | — |
| SimpleQA VerifiedShort factual questions | 69.7% | — |
| Price per million tokens | ||
| Input | $4.00 | $0.25 (best) |
| Output | $20.00 | $0.75 (best) |
| Cached input | $0.40 | $0.025 (best) |
| Blended (3:1) | $8.00 | $0.375 (best) |
| Long-context rate | Over 272K: $8.00 / $30.00 | Same rate |
| Price source | Official OpenAI API | Official Inception API |
| Limits | ||
| Context window | 1,050,000 tokens (best) | 32,000 tokens |
| Max output | 128,000 tokens (best) | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | Yes | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yeslow · medium · high · xhigh · max | No |
| Tool calling | Yes | No |
| Structured output | Yes | No |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | gpt-5.6-sol | mercury-edit-2 |
| API providers | 40 (best) | 1 |
| Released | Jul 9, 2026 | Mar 30, 2026 |
| Knowledge cutoff | Feb 16, 2026 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
GPT-5.6 Sol$80.00
Mercury Edit 2$4.00
Which should you choose?
Which is better: GPT-5.6 Sol or Mercury Edit 2?
GPT-5.6 Sol is the better all-round choice, scoring 40/100 against Mercury Edit 2 (35). It leads on inputs & features and context window. Mercury Edit 2 wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, GPT-5.6 Sol or Mercury Edit 2?
Mercury Edit 2 is cheaper at $0.25 input / $0.75 output per million tokens (official Inception API price). GPT-5.6 Sol costs $4.00 input / $20.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $0.375 per million tokens for Mercury Edit 2 versus $8.00 for GPT-5.6 Sol (21× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. GPT-5.6 Sol has an ECI of 161.8 and Mercury Edit 2 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.6 Sol and Mercury Edit 2 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Mercury Edit 2 does not support tool calling, which most coding agents need.
Which has the bigger context window?
GPT-5.6 Sol has the largest context window at 1,050,000 tokens, against 32,000 for Mercury Edit 2. Maximum output per response: GPT-5.6 Sol up to 128,000, Mercury Edit 2 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
GPT-5.6 Sol accepts text, images and PDFs; Mercury Edit 2 accepts text. GPT-5.6 Sol handles the widest range of inputs.
Are any of these open source?
No. GPT-5.6 Sol and Mercury Edit 2 are proprietary and only available through APIs and apps.
Which is newer?
GPT-5.6 Sol is the newest, released Jul 9, 2026. Mercury Edit 2 came out Mar 30, 2026. Knowledge cutoff: GPT-5.6 Sol Feb 16, 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 Oct 4, 2026.