Gemini 2.5 Pro Preview 06-05 vs Qwen3 Max Preview vs o4-mini-deep-research
Gemini 2.5 Pro Preview 06-05 comes out ahead, 48 to 37 and 33 on our weighted score, though Qwen3 Max Preview is 47% cheaper per token.
- Our pick
GoogleGemini 2.5 Pro Preview 06-05
48/100- ECI—
- Price$1.22 / $9.75
- Context1.05M
Alibaba (Qwen)Qwen3 Max Preview
33/100- ECI—
- Price$0.975 / $4.14
- Context262K
OpenAIo4-mini-deep-research
37/100- ECI—
- Price$1.80 / $7.20
- Context200K
Gemini 2.5 Pro Preview 06-05 is our pick
Gemini 2.5 Pro Preview 06-05 is the better all-round choice, scoring 48/100 against o4-mini-deep-research (37) and Qwen3 Max Preview (33). It leads on inputs & features and context window. Qwen3 Max Preview 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 priceQwen3 Max PreviewQwen3 Max Preview $1.77 · 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 · Qwen3 Max Preview 262,144 · o4-mini-deep-research 200,000 tokens
- Widest inputsGemini 2.5 Pro Preview 06-05Gemini 2.5 Pro Preview 06-05: Text, Images, PDFs, Audio · Qwen3 Max Preview: 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 | Qwen3 Max Preview | o4-mini-deep-research |
|---|---|---|---|---|
| Price | 50% | 24 | 37 | 25 |
| Inputs & features | 30% | 80 | 25 | 60 |
| Context window | 20% | 61 | 37 | 32 |
| Overall | 100% | 48/100 | 33/100 | 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 | Qwen3 Max PreviewAlibaba (Qwen) | o4-mini-deep-researchOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.22 | $0.975 (best) | $1.80 |
| Output | $9.75 | $4.14 (best) | $7.20 |
| Cached input | — | — | — |
| Blended (3:1) | $3.35 | $1.77 (best) | $3.15 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 4 providers | Median of 2 providers | Median of 1 providers |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 262,144 tokens | 200,000 tokens |
| Max output | 65,536 tokens | 32,768 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 | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | — | — |
| API providers | 4 (best) | 2 | 1 |
| Released | Jun 5, 2025 | Sep 5, 2025 | Jun 26, 2025 |
| Knowledge cutoff | Jan 31, 2025 | Apr 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
- Qwen3 Max Preview$18.03
- o4-mini-deep-research$32.40
Which should you choose?
Which is better: Gemini 2.5 Pro Preview 06-05, Qwen3 Max Preview or o4-mini-deep-research?
Gemini 2.5 Pro Preview 06-05 is the better all-round choice, scoring 48/100 against o4-mini-deep-research (37) and Qwen3 Max Preview (33). It leads on inputs & features and context window. Qwen3 Max Preview 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, Gemini 2.5 Pro Preview 06-05, Qwen3 Max Preview or o4-mini-deep-research?
Qwen3 Max Preview is cheaper at $0.975 input / $4.14 output per million tokens (median across 2 API providers). 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 $1.77 per million tokens for Qwen3 Max Preview versus $3.15 for o4-mini-deep-research (1.8× as much) and $3.35 for Gemini 2.5 Pro Preview 06-05 (1.9× 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, Qwen3 Max Preview 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, Qwen3 Max Preview 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 262,144 for Qwen3 Max Preview and 200,000 for o4-mini-deep-research. Maximum output per response: Gemini 2.5 Pro Preview 06-05 up to 65,536, Qwen3 Max Preview up to 32,768, 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; Qwen3 Max Preview 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, Qwen3 Max Preview and o4-mini-deep-research are proprietary and only available through APIs and apps.
Which is newer?
Qwen3 Max Preview is the newest, released Sep 5, 2025. 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, Qwen3 Max Preview Apr 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.
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