Gemma 3 4B IT vs Ministral 8B Instruct vs Ministral 3B
Gemma 3 4B IT comes out ahead, 47 to 43 and 42 on our weighted score, and it is the cheaper option too.
- Our pick
Google
Gemma 3 4B IT
47/100- ECI116.1
- Price$0.05 / $0.10
- Context131K
Mistral AI
Ministral 8B Instruct
42/100- ECI—
- Price$0.15 / $0.15
- Context131K
Mistral AI
Ministral 3B
43/100- ECI118.1
- Price$0.10 / $0.10
- Context128K
Gemma 3 4B IT is our pick
Gemma 3 4B IT is the better all-round choice, scoring 47/100 against Ministral 3B (43) and Ministral 8B Instruct (42). It leads on price and inputs & features. Ministral 8B Instruct wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond), because Ministral 8B Instruct has no Capabilities Index score yet.
- CapabilityMinistral 8B InstructShared benchmarks: Ministral 8B Instruct 27.2% · Ministral 3B 25.3% · Gemma 3 4B IT 23.2%
- Lowest priceGemma 3 4B ITGemma 3 4B IT $0.063 · Ministral 3B $0.10 · Ministral 8B Instruct $0.15 per 1M tokens (3:1 blend)
- Longest contextGemma 3 4B IT and Ministral 8B InstructGemma 3 4B IT 131,072 · Ministral 8B Instruct 131,072 · Ministral 3B 128,000 tokens
- Widest inputsGemma 3 4B ITGemma 3 4B IT: Text, Images · Ministral 8B Instruct: Text · Ministral 3B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Gemma 3 4B IT | Ministral 8B Instruct | Ministral 3B |
|---|---|---|---|---|
| CapabilityShared benchmarks | 50% | 23 | 27 | 25 |
| Price | 25% | 100 | 89 | 97 |
| Inputs & features | 15% | 50 | 25 | 25 |
| Context window | 10% | 24 | 24 | 24 |
| Overall | 100% | 47/100 | 42/100 | 43/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 116.1 | — | 118.1 (best) |
| ECI rank | #146 of 148 | — | #144 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 23.2% | 27.2% (best) | 25.3% |
| OTIS Mock AIME 2024–2025Competition mathematics | 7.5% | — | — |
| Price per million tokens | |||
| Input | $0.05 (best) | $0.15 | $0.10 |
| Output | $0.10 (best) | $0.15 | $0.10 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.063 (best) | $0.15 | $0.10 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 7 providers | Median of 1 providers | Median of 1 providers |
| Limits | |||
| Context window | 131,072 tokens (best) | 131,072 tokens (best) | 128,000 tokens |
| Max output | 131,072 tokens (best) | 8,192 tokens | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | OpenMistral Research License | Open |
| API model ID | — | — | — |
| API providers | 7 (best) | 1 | 1 |
| Released | Mar 12, 2025 | Oct 16, 2024 | Oct 16, 2024 |
| Knowledge cutoff | Aug 2024 | — | Mar 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Gemma 3 4B IT$0.70
Ministral 8B Instruct$1.80
Ministral 3B$1.20
Which should you choose?
Which is better: Gemma 3 4B IT, Ministral 8B Instruct or Ministral 3B?
Gemma 3 4B IT is the better all-round choice, scoring 47/100 against Ministral 3B (43) and Ministral 8B Instruct (42). It leads on price and inputs & features. Ministral 8B Instruct wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond), because Ministral 8B Instruct has no Capabilities Index score yet.
Which is cheaper, Gemma 3 4B IT, Ministral 8B Instruct or Ministral 3B?
Gemma 3 4B IT is cheaper at $0.05 input / $0.10 output per million tokens (median across 7 API providers). Ministral 3B costs $0.10 input / $0.10 output per million tokens (median across 1 API provider); Ministral 8B Instruct costs $0.15 input / $0.15 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.063 per million tokens for Gemma 3 4B IT versus $0.10 for Ministral 3B (1.6× as much) and $0.15 for Ministral 8B Instruct (2.4× as much).
Which scores higher on benchmarks?
Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond): Ministral 8B Instruct 27.2%, Ministral 3B 25.3% and Gemma 3 4B IT 23.2%. On individual benchmarks: GPQA Diamond — Ministral 8B Instruct 27.2%, Ministral 3B 25.3%, Gemma 3 4B IT 23.2%.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 3 4B IT, Ministral 8B Instruct and Ministral 3B yet, so there is no like-for-like coding score. On overall capability, Ministral 8B Instruct leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
Gemma 3 4B IT and Ministral 8B Instruct have the largest context windows (131,072 and 131,072 tokens), against 128,000 for Ministral 3B. Maximum output per response: Gemma 3 4B IT up to 131,072, Ministral 8B Instruct up to 8,192, Ministral 3B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Gemma 3 4B IT accepts text and images; Ministral 8B Instruct accepts text; Ministral 3B accepts text. Gemma 3 4B IT handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (Mistral Research License), so you can self-host them.
Which is newer?
Gemma 3 4B IT is the newest, released Mar 12, 2025. Ministral 8B Instruct came out Oct 16, 2024; Ministral 3B came out Oct 16, 2024. Knowledge cutoff: Gemma 3 4B IT Aug 2024, Ministral 3B Mar 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.