Gemini 2.5 Pro Preview 06-05 vs Gemini 4 Argon vs o4-mini-deep-research
Gemini 4 Argon comes out ahead, 52 to 48 and 37 on our weighted score, though o4-mini-deep-research is 21% cheaper per token.
GoogleGemini 2.5 Pro Preview 06-05
48/100- ECI—
- Price$1.22 / $9.75
- Context1.05M
- Our pickGoogle
Gemini 4 Argon
52/100- ECI166.1
- Price$2.00 / $10.00
- Context1.05M
OpenAIo4-mini-deep-research
37/100- ECI—
- Price$1.80 / $7.20
- Context200K
Gemini 4 Argon is our pick
Gemini 4 Argon is the better all-round choice, scoring 52/100 against Gemini 2.5 Pro Preview 06-05 (48) and o4-mini-deep-research (37). It leads on inputs & features. 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 priceo4-mini-deep-researcho4-mini-deep-research $3.15 · Gemini 2.5 Pro Preview 06-05 $3.35 · Gemini 4 Argon $4.00 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Pro Preview 06-05 and Gemini 4 ArgonGemini 2.5 Pro Preview 06-05 1,048,576 · Gemini 4 Argon 1,048,576 · o4-mini-deep-research 200,000 tokens
- Widest inputsGemini 4 ArgonGemini 2.5 Pro Preview 06-05: Text, Images, PDFs, Audio · Gemini 4 Argon: Text, Images, PDFs, Audio, Video · 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 | Gemini 4 Argon | o4-mini-deep-research |
|---|---|---|---|---|
| Price | 50% | 24 | 20 | 25 |
| Inputs & features | 30% | 80 | 100 | 60 |
| Context window | 20% | 61 | 61 | 32 |
| Overall | 100% | 48/100 | 52/100 | 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 | Gemini 4 ArgonGoogle | o4-mini-deep-researchOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 166.1 | — |
| ECI rank | — | #7 of 165 | — |
| GPQA DiamondGraduate-level science questions | — | 96.4% | — |
| FrontierMath Tiers 1–3Research-level mathematics | — | 86.0% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 100% | — |
| SimpleQA VerifiedShort factual questions | — | 76.0% | — |
| Price per million tokens | |||
| Input | $1.22 (best) | $2.00 | $1.80 |
| Output | $9.75 | $10.00 | $7.20 (best) |
| Cached input | — | $0.10 | — |
| Blended (3:1) | $3.35 | $4.00 | $3.15 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 4 providers | Official Google API | Median of 1 providers |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 1,048,576 tokens (best) | 200,000 tokens |
| Max output | 65,536 tokens | 65,536 tokens | 100,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | Yes | No |
| Audio | Yes | Yes | No |
| Video | No | Yes | No |
| Reasoning | Yes | Yeslow · medium · high | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | gemini-4-argon | — |
| API providers | 4 | 24 (best) | 1 |
| Released | Jun 5, 2025 | Oct 13, 2026 | Jun 26, 2025 |
| Knowledge cutoff | Jan 31, 2025 | Mar 2026 | 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
- Gemini 4 Argon$40.00
- o4-mini-deep-research$32.40
Which should you choose?
Which is better: Gemini 2.5 Pro Preview 06-05, Gemini 4 Argon or o4-mini-deep-research?
Gemini 4 Argon is the better all-round choice, scoring 52/100 against Gemini 2.5 Pro Preview 06-05 (48) and o4-mini-deep-research (37). It leads on inputs & features. 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, Gemini 4 Argon or o4-mini-deep-research?
o4-mini-deep-research is cheaper at $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); Gemini 4 Argon costs $2.00 input / $10.00 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $3.15 per million tokens for o4-mini-deep-research versus $3.35 for Gemini 2.5 Pro Preview 06-05 (1.1× as much) and $4.00 for Gemini 4 Argon (1.3× 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, Gemini 4 Argon has an ECI of 166.1 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, Gemini 4 Argon 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 and Gemini 4 Argon have the largest context windows (1,048,576 and 1,048,576 tokens), against 200,000 for o4-mini-deep-research. Maximum output per response: Gemini 2.5 Pro Preview 06-05 up to 65,536, Gemini 4 Argon up to 65,536, 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; Gemini 4 Argon accepts text, images, PDFs, audio and video; o4-mini-deep-research accepts text and images. Gemini 4 Argon handles the widest range of inputs.
Are any of these open source?
No. Gemini 2.5 Pro Preview 06-05, Gemini 4 Argon and o4-mini-deep-research are proprietary and only available through APIs and apps.
Which is newer?
Gemini 4 Argon is the newest, released Oct 13, 2026. o4-mini-deep-research came out Jun 26, 2025; Gemini 2.5 Pro Preview 06-05 came out Jun 5, 2025. Knowledge cutoff: Gemini 2.5 Pro Preview 06-05 Jan 31, 2025, Gemini 4 Argon Mar 2026, 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.
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