Mistral Small 3.2 24B vs Llama-3.3-70B-Instruct vs Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite comes out ahead, 83 to 65 and 41 on our weighted score, though Mistral Small 3.2 24B is 14% cheaper per token.
Mistral AIMistral Small 3.2 24B
65/100- ECI—
- Price$0.10 / $0.305
- Context256K
MetaLlama-3.3-70B-Instruct
41/100- ECI127.3
- Price$0.59 / $0.753
- Context128K
- Our pick
GoogleGemini 2.5 Flash-Lite
83/100- ECI—
- Price$0.10 / $0.40
- Context1.05M
Gemini 2.5 Flash-Lite is our pick
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Mistral Small 3.2 24B (65) and Llama-3.3-70B-Instruct (41). It leads on inputs & features and context window. Mistral Small 3.2 24B 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 priceMistral Small 3.2 24BMistral Small 3.2 24B $0.151 · Gemini 2.5 Flash-Lite $0.175 · Llama-3.3-70B-Instruct $0.631 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · Mistral Small 3.2 24B 256,000 · Llama-3.3-70B-Instruct 128,000 tokens
- Widest inputsGemini 2.5 Flash-LiteMistral Small 3.2 24B: Text, Images · Llama-3.3-70B-Instruct: Text · Gemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video
- Self-hostingMistral Small 3.2 24B and Llama-3.3-70B-InstructPublishes downloadable weights
| Measure | Weight | Mistral Small 3.2 24B | Llama-3.3-70B-Instruct | Gemini 2.5 Flash-Lite |
|---|---|---|---|---|
| Price | 50% | 85 | 57 | 82 |
| Inputs & features | 30% | 50 | 25 | 100 |
| Context window | 20% | 36 | 24 | 61 |
| Overall | 100% | 65/100 | 41/100 | 83/100 |
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 | Mistral Small 3.2 24BMistral AI | Llama-3.3-70B-InstructMeta | Gemini 2.5 Flash-LiteGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 127.3 | — |
| ECI rank | — | #146 of 165 | — |
| GPQA DiamondGraduate-level science questions | — | 47.4% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 5.1% | — |
| Price per million tokens | |||
| Input | $0.10 (best) | $0.59 | $0.10 (best) |
| Output | $0.305 (best) | $0.753 | $0.40 |
| Cached input | — | — | $0.01 |
| Blended (3:1) | $0.151 (best) | $0.631 | $0.175 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 8 providers | Median of 37 providers | Official Google API |
| Limits | |||
| Context window | 256,000 tokens | 128,000 tokens | 1,048,576 tokens (best) |
| Max output | 16,384 tokens | 4,096 tokens | 65,536 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | No | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | — | — | gemini-2.5-flash-lite |
| API providers | 8 | 40 (best) | 24 |
| Released | Jun 20, 2025 | Dec 6, 2024 | Jun 17, 2025 |
| Knowledge cutoff | Oct 31, 2023 | Dec 2023 | Jan 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Mistral Small 3.2 24B$1.61
- Llama-3.3-70B-Instruct$7.41
- Gemini 2.5 Flash-Lite$1.80
Which should you choose?
Which is better: Mistral Small 3.2 24B, Llama-3.3-70B-Instruct or Gemini 2.5 Flash-Lite?
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Mistral Small 3.2 24B (65) and Llama-3.3-70B-Instruct (41). It leads on inputs & features and context window. Mistral Small 3.2 24B 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, Mistral Small 3.2 24B, Llama-3.3-70B-Instruct or Gemini 2.5 Flash-Lite?
Mistral Small 3.2 24B is cheaper at $0.10 input / $0.305 output per million tokens (median across 8 API providers). Gemini 2.5 Flash-Lite costs $0.10 input / $0.40 output per million tokens (official Google API price); Llama-3.3-70B-Instruct costs $0.59 input / $0.753 output per million tokens (median across 37 API providers). At a typical mix of three input tokens to one output token, that is $0.151 per million tokens for Mistral Small 3.2 24B versus $0.175 for Gemini 2.5 Flash-Lite (1.2× as much) and $0.631 for Llama-3.3-70B-Instruct (4.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Mistral Small 3.2 24B has not been scored yet, Llama-3.3-70B-Instruct has an ECI of 127.3 and Gemini 2.5 Flash-Lite has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Small 3.2 24B, Llama-3.3-70B-Instruct and Gemini 2.5 Flash-Lite 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 Flash-Lite has the largest context window at 1,048,576 tokens, against 256,000 for Mistral Small 3.2 24B and 128,000 for Llama-3.3-70B-Instruct. Maximum output per response: Mistral Small 3.2 24B up to 16,384, Llama-3.3-70B-Instruct up to 4,096, Gemini 2.5 Flash-Lite up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Mistral Small 3.2 24B accepts text and images; Llama-3.3-70B-Instruct accepts text; Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video. Gemini 2.5 Flash-Lite handles the widest range of inputs.
Are any of these open source?
Mistral Small 3.2 24B and Llama-3.3-70B-Instruct publishes its weights and can be self-hosted; Gemini 2.5 Flash-Lite is proprietary.
Which is newer?
Mistral Small 3.2 24B is the newest, released Jun 20, 2025. Gemini 2.5 Flash-Lite came out Jun 17, 2025; Llama-3.3-70B-Instruct came out Dec 6, 2024. Knowledge cutoff: Mistral Small 3.2 24B Oct 31, 2023, Llama-3.3-70B-Instruct Dec 2023, Gemini 2.5 Flash-Lite Jan 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.
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