Pixtral Large (25.02) vs Morph V3 Fast vs Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05 comes out ahead, 48 to 33 and 32 on our weighted score, though Morph V3 Fast is 3.7× cheaper per token.
Mistral AIPixtral Large (25.02)
33/100- ECI—
- Price$2.00 / $6.00
- Context128K
Morph
Morph V3 Fast
32/100- ECI—
- Price$0.80 / $1.20
- Context262K
- Our pick
GoogleGemini 2.5 Pro Preview 06-05
48/100- ECI—
- Price$1.22 / $9.75
- Context1.05M
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 Pixtral Large (25.02) (33) and Morph V3 Fast (32). It leads on inputs & features and context window. Morph V3 Fast 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 priceMorph V3 FastMorph V3 Fast $0.90 · 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 · Morph V3 Fast 262,144 · Pixtral Large (25.02) 128,000 tokens
- Widest inputsGemini 2.5 Pro Preview 06-05Pixtral Large (25.02): Text, Images · Morph V3 Fast: Text · Gemini 2.5 Pro Preview 06-05: Text, Images, PDFs, Audio
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Pixtral Large (25.02) | Morph V3 Fast | Gemini 2.5 Pro Preview 06-05 |
|---|---|---|---|---|
| Price | 50% | 26 | 50 | 24 |
| Inputs & features | 30% | 50 | 0 | 80 |
| Context window | 20% | 24 | 37 | 61 |
| Overall | 100% | 33/100 | 32/100 | 48/100 |
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 | Pixtral Large (25.02)Mistral AI | Morph V3 FastMorph | Gemini 2.5 Pro Preview 06-05Google |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.00 | $0.80 (best) | $1.22 |
| Output | $6.00 | $1.20 (best) | $9.75 |
| Cached input | — | — | — |
| Blended (3:1) | $3.00 | $0.90 (best) | $3.35 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 3 providers | Median of 5 providers | Median of 4 providers |
| Limits | |||
| Context window | 128,000 tokens | 262,144 tokens | 1,048,576 tokens (best) |
| Max output | 8,192 tokens | 131,072 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | Yes |
| Video | No | No | No |
| Reasoning | No | No | Yes |
| Tool calling | Yes | No | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | — | — |
| API providers | 3 | 5 (best) | 4 |
| Released | Apr 8, 2025 | Jul 7, 2025 | Jun 5, 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.
- Pixtral Large (25.02)$32.00
- Morph V3 Fast$10.40
- Gemini 2.5 Pro Preview 06-05$31.69
Which should you choose?
Which is better: Pixtral Large (25.02), Morph V3 Fast or Gemini 2.5 Pro Preview 06-05?
Gemini 2.5 Pro Preview 06-05 is the better all-round choice, scoring 48/100 against Pixtral Large (25.02) (33) and Morph V3 Fast (32). It leads on inputs & features and context window. Morph V3 Fast 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, Pixtral Large (25.02), Morph V3 Fast or Gemini 2.5 Pro Preview 06-05?
Morph V3 Fast is cheaper at $0.80 input / $1.20 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 $0.90 per million tokens for Morph V3 Fast versus $3.00 for Pixtral Large (25.02) (3.3× as much) and $3.35 for Gemini 2.5 Pro Preview 06-05 (3.7× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Pixtral Large (25.02) has not been scored yet, Morph V3 Fast has not been scored yet and Gemini 2.5 Pro Preview 06-05 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Pixtral Large (25.02), Morph V3 Fast and Gemini 2.5 Pro Preview 06-05 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Morph V3 Fast does not support tool calling, which most coding agents need.
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 Morph V3 Fast and 128,000 for Pixtral Large (25.02). Maximum output per response: Pixtral Large (25.02) up to 8,192, Morph V3 Fast up to 131,072, Gemini 2.5 Pro Preview 06-05 up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Pixtral Large (25.02) accepts text and images; Morph V3 Fast accepts text; Gemini 2.5 Pro Preview 06-05 accepts text, images, PDFs and audio. Gemini 2.5 Pro Preview 06-05 handles the widest range of inputs.
Are any of these open source?
No. Pixtral Large (25.02), Morph V3 Fast and Gemini 2.5 Pro Preview 06-05 are proprietary and only available through APIs and apps.
Which is newer?
Morph V3 Fast is the newest, released Jul 7, 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.
