Gemini 2.0 Flash vs Mistral Large 2.1
Gemini 2.0 Flash comes out ahead, 65 to 42 on our weighted score.
- Our pick
GoogleGemini 2.0 Flash
65/100- ECI134.7
- Price—
- Context1.05M
Mistral AIMistral Large 2.1
42/100- ECI128.5
- Price$2.00 / $6.00
- Context131K
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Make it a three-way comparison.
Gemini 2.0 Flash is our pick
Gemini 2.0 Flash is the better all-round choice, scoring 65/100 against Mistral Large 2.1 (42). It leads on capability, inputs & features and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.
- CapabilityGemini 2.0 FlashCapabilities Index (ECI): Gemini 2.0 Flash 134.7 · Mistral Large 2.1 128.5
- Lowest priceMistral Large 2.1Mistral Large 2.1 $3.00 per 1M tokens (3:1 blend) · Gemini 2.0 Flash unpriced
- Longest contextGemini 2.0 FlashGemini 2.0 Flash 1,048,576 · Mistral Large 2.1 131,072 tokens
- Widest inputsGemini 2.0 FlashGemini 2.0 Flash: Text, Images, PDFs, Audio, Video · Mistral Large 2.1: Text
- Self-hostingMistral Large 2.1Publishes downloadable weights
| Measure | Weight | Gemini 2.0 Flash | Mistral Large 2.1 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 67% | 59 | 51 |
| Inputs & features | 20% | 90 | 25 |
| Context window | 13% | 61 | 24 |
| Overall | 100% | 65/100 | 42/100 |
Left out because at least one model lacks the data: price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemini 2.0 FlashGoogle | Mistral Large 2.1Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 134.7 (best) | 128.5 |
| ECI rank | #116 of 148 (best) | #130 of 148 |
| GPQA DiamondGraduate-level science questions | — | 51.3% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 7.8% |
| Price per million tokens | ||
| Input | — | $2.00 |
| Output | — | $6.00 |
| Cached input | — | — |
| Blended (3:1) | — | $3.00 |
| Long-context rate | — | Same rate |
| Price source | — | Official Mistral API |
| Limits | ||
| Context window | 1,048,576 tokens (best) | 131,072 tokens |
| Max output | 8,192 tokens | 16,384 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | Yes | No |
| Audio | Yes | No |
| Video | Yes | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | — | mistral-large-2411 |
| API providers | — | 2 |
| Released | Dec 11, 2024 | Nov 18, 2024 |
| Knowledge cutoff | Jun 2024 | Nov 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 2.0 Flash—
- Mistral Large 2.1$32.00
Which should you choose?
Which is better: Gemini 2.0 Flash or Mistral Large 2.1?
Gemini 2.0 Flash is the better all-round choice, scoring 65/100 against Mistral Large 2.1 (42). It leads on capability, inputs & features and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.
Which is cheaper, Gemini 2.0 Flash or Mistral Large 2.1?
Mistral Large 2.1 is cheaper at $2.00 input / $6.00 output per million tokens (official Mistral API price). . At a typical mix of three input tokens to one output token, that is $3.00 per million tokens for Mistral Large 2.1 versus . Gemini 2.0 Flash has no published per-token price.
Which scores higher on benchmarks?
Gemini 2.0 Flash scores higher on the Capabilities Index (ECI): Gemini 2.0 Flash 134.7 (#116 of 148) and Mistral Large 2.1 128.5 (#130 of 148). The confidence ranges of the top two overlap (124.3–136.7 vs 123.8–130.8), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 2.0 Flash and Mistral Large 2.1 yet, so there is no like-for-like coding score. On overall capability, Gemini 2.0 Flash leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Gemini 2.0 Flash has the largest context window at 1,048,576 tokens, against 131,072 for Mistral Large 2.1. Maximum output per response: Gemini 2.0 Flash up to 8,192, Mistral Large 2.1 up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.0 Flash accepts text, images, PDFs, audio and video; Mistral Large 2.1 accepts text. Gemini 2.0 Flash handles the widest range of inputs.
Are any of these open source?
Mistral Large 2.1 publishes its weights and can be self-hosted; Gemini 2.0 Flash is proprietary.
Which is newer?
Gemini 2.0 Flash is the newest, released Dec 11, 2024. Mistral Large 2.1 came out Nov 18, 2024. Knowledge cutoff: Gemini 2.0 Flash Jun 2024, Mistral Large 2.1 Nov 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 Oct 4, 2026.
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