Gemini 2.5 Pro Preview 06-05 vs Solar Pro 2 vs o4-mini-deep-research
Too close to call on our weighted score (Solar Pro 2 51, Gemini 2.5 Pro Preview 06-05 48, o4-mini-deep-research 37). The right pick depends on what you value most.
GoogleGemini 2.5 Pro Preview 06-05
48/100- ECI—
- Price$1.22 / $9.75
- Context1.05M
UpstageSolar Pro 2
51/100- ECI—
- Price$0.25 / $0.25
- Context66K
OpenAIo4-mini-deep-research
37/100- ECI—
- Price$1.80 / $7.20
- Context200K
Too close to call
It is close. Our weighted score puts them within 2 points (Solar Pro 2 51/100, Gemini 2.5 Pro Preview 06-05 48/100, o4-mini-deep-research 37/100), so choose by what matters most for your work: Solar Pro 2 on price and Gemini 2.5 Pro Preview 06-05 for long inputs. 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 priceSolar Pro 2Solar Pro 2 $0.25 · o4-mini-deep-research $3.15 · Gemini 2.5 Pro Preview 06-05 $3.35 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Pro Preview 06-05Gemini 2.5 Pro Preview 06-05 1,048,576 · o4-mini-deep-research 200,000 · Solar Pro 2 65,536 tokens
- Widest inputsGemini 2.5 Pro Preview 06-05Gemini 2.5 Pro Preview 06-05: Text, Images, PDFs, Audio · Solar Pro 2: Text · o4-mini-deep-research: Text, Images
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Gemini 2.5 Pro Preview 06-05 | Solar Pro 2 | o4-mini-deep-research |
|---|---|---|---|---|
| Price | 50% | 24 | 75 | 25 |
| Inputs & features | 30% | 80 | 35 | 60 |
| Context window | 20% | 61 | 12 | 32 |
| Overall | 100% | 48/100 | 51/100 | 37/100 |
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 | Gemini 2.5 Pro Preview 06-05Google | Solar Pro 2Upstage | o4-mini-deep-researchOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.22 | $0.25 (best) | $1.80 |
| Output | $9.75 | $0.25 (best) | $7.20 |
| Cached input | — | — | — |
| Blended (3:1) | $3.35 | $0.25 (best) | $3.15 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 4 providers | Official Upstage API | Median of 1 providers |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 65,536 tokens | 200,000 tokens |
| Max output | 65,536 tokens | 8,192 tokens | 100,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | Yes | No | No |
| Audio | Yes | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yesminimal · high | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | solar-pro2 | — |
| API providers | 4 (best) | 2 | 1 |
| Released | Jun 5, 2025 | May 20, 2025 | Jun 26, 2025 |
| Knowledge cutoff | Jan 31, 2025 | Mar 2025 | May 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Gemini 2.5 Pro Preview 06-05$31.69
- Solar Pro 2$3.00
- o4-mini-deep-research$32.40
Which should you choose?
Which is better: Gemini 2.5 Pro Preview 06-05, Solar Pro 2 or o4-mini-deep-research?
It is close. Our weighted score puts them within 2 points (Solar Pro 2 51/100, Gemini 2.5 Pro Preview 06-05 48/100, o4-mini-deep-research 37/100), so choose by what matters most for your work: Solar Pro 2 on price and Gemini 2.5 Pro Preview 06-05 for long inputs. 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, Gemini 2.5 Pro Preview 06-05, Solar Pro 2 or o4-mini-deep-research?
Solar Pro 2 is cheaper at $0.25 input / $0.25 output per million tokens (official Upstage API price). o4-mini-deep-research costs $1.80 input / $7.20 output per million tokens (median across 1 API provider); Gemini 2.5 Pro Preview 06-05 costs $1.22 input / $9.75 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $0.25 per million tokens for Solar Pro 2 versus $3.15 for o4-mini-deep-research (13× as much) and $3.35 for Gemini 2.5 Pro Preview 06-05 (13× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemini 2.5 Pro Preview 06-05 has not been scored yet, Solar Pro 2 has not been scored yet and o4-mini-deep-research has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 2.5 Pro Preview 06-05, Solar Pro 2 and o4-mini-deep-research yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Gemini 2.5 Pro Preview 06-05 has the largest context window at 1,048,576 tokens, against 200,000 for o4-mini-deep-research and 65,536 for Solar Pro 2. Maximum output per response: Gemini 2.5 Pro Preview 06-05 up to 65,536, Solar Pro 2 up to 8,192, o4-mini-deep-research up to 100,000 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Pro Preview 06-05 accepts text, images, PDFs and audio; Solar Pro 2 accepts text; o4-mini-deep-research accepts text and images. Gemini 2.5 Pro Preview 06-05 handles the widest range of inputs.
Are any of these open source?
No. Gemini 2.5 Pro Preview 06-05, Solar Pro 2 and o4-mini-deep-research are proprietary and only available through APIs and apps.
Which is newer?
o4-mini-deep-research is the newest, released Jun 26, 2025. Gemini 2.5 Pro Preview 06-05 came out Jun 5, 2025; Solar Pro 2 came out May 20, 2025. Knowledge cutoff: Gemini 2.5 Pro Preview 06-05 Jan 31, 2025, Solar Pro 2 Mar 2025, o4-mini-deep-research May 2024.
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.
