Gemini 2.5 Pro Preview 06-05 vs MiniMax M1 80K vs Pixtral Large (25.02)
Too close to call on our weighted score (Gemini 2.5 Pro Preview 06-05 48, MiniMax M1 80K 47, Pixtral Large (25.02) 33). 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
MiniMaxMiniMax M1 80K
47/100- ECI—
- Price$0.55 / $2.20
- Context1M
Mistral AIPixtral Large (25.02)
33/100- ECI—
- Price$2.00 / $6.00
- Context128K
Too close to call
It is close. Our weighted score puts them within 1 points (Gemini 2.5 Pro Preview 06-05 48/100, MiniMax M1 80K 47/100, Pixtral Large (25.02) 33/100), so choose by what matters most for your work: MiniMax M1 80K 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 priceMiniMax M1 80KMiniMax M1 80K $0.963 · Pixtral Large (25.02) $3.00 · 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 · MiniMax M1 80K 1,000,000 · Pixtral Large (25.02) 128,000 tokens
- Widest inputsGemini 2.5 Pro Preview 06-05Gemini 2.5 Pro Preview 06-05: Text, Images, PDFs, Audio · MiniMax M1 80K: Text · Pixtral Large (25.02): Text, Images
- Self-hostingMiniMax M1 80KPublishes downloadable weights (Apache-2.0)
| Measure | Weight | Gemini 2.5 Pro Preview 06-05 | MiniMax M1 80K | Pixtral Large (25.02) |
|---|---|---|---|---|
| Price | 50% | 24 | 48 | 26 |
| Inputs & features | 30% | 80 | 35 | 50 |
| Context window | 20% | 61 | 60 | 24 |
| Overall | 100% | 48/100 | 47/100 | 33/100 |
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 | MiniMax M1 80KMiniMax | Pixtral Large (25.02)Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.22 | $0.55 (best) | $2.00 |
| Output | $9.75 | $2.20 (best) | $6.00 |
| Cached input | — | — | — |
| Blended (3:1) | $3.35 | $0.963 (best) | $3.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 4 providers | Median of 5 providers | Median of 3 providers |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 1,000,000 tokens | 128,000 tokens |
| Max output | 65,536 tokens | 80,000 tokens (best) | 8,192 tokens |
| 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 | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | OpenApache-2.0 | Proprietary |
| API model ID | — | — | — |
| API providers | 4 | 5 (best) | 3 |
| Released | Jun 5, 2025 | Jun 17, 2025 | Apr 8, 2025 |
| Knowledge cutoff | Jan 31, 2025 | — | — |
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
- MiniMax M1 80K$9.90
- Pixtral Large (25.02)$32.00
Which should you choose?
Which is better: Gemini 2.5 Pro Preview 06-05, MiniMax M1 80K or Pixtral Large (25.02)?
It is close. Our weighted score puts them within 1 points (Gemini 2.5 Pro Preview 06-05 48/100, MiniMax M1 80K 47/100, Pixtral Large (25.02) 33/100), so choose by what matters most for your work: MiniMax M1 80K 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, MiniMax M1 80K or Pixtral Large (25.02)?
MiniMax M1 80K is cheaper at $0.55 input / $2.20 output per million tokens (median across 5 API providers). Pixtral Large (25.02) costs $2.00 input / $6.00 output per million tokens (median across 3 API providers); 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 $0.963 per million tokens for MiniMax M1 80K versus $3.00 for Pixtral Large (25.02) (3.1× as much) and $3.35 for Gemini 2.5 Pro Preview 06-05 (3.5× 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, MiniMax M1 80K has not been scored yet and Pixtral Large (25.02) 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, MiniMax M1 80K and Pixtral Large (25.02) 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 1,000,000 for MiniMax M1 80K and 128,000 for Pixtral Large (25.02). Maximum output per response: Gemini 2.5 Pro Preview 06-05 up to 65,536, MiniMax M1 80K up to 80,000, Pixtral Large (25.02) up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Pro Preview 06-05 accepts text, images, PDFs and audio; MiniMax M1 80K accepts text; Pixtral Large (25.02) accepts text and images. Gemini 2.5 Pro Preview 06-05 handles the widest range of inputs.
Are any of these open source?
MiniMax M1 80K publishes its weights (Apache-2.0) and can be self-hosted; Gemini 2.5 Pro Preview 06-05 and Pixtral Large (25.02) is proprietary.
Which is newer?
MiniMax M1 80K is the newest, released Jun 17, 2025. Gemini 2.5 Pro Preview 06-05 came out Jun 5, 2025; Pixtral Large (25.02) came out Apr 8, 2025. Knowledge cutoff: Gemini 2.5 Pro Preview 06-05 Jan 31, 2025.
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.
