Gemma 3 4B IT vs Llama-3.1-8B-Instruct
Gemma 3 4B IT comes out ahead, 53 to 46 on our weighted score, and it is the cheaper option too.
- Our pick
GoogleGemma 3 4B IT
53/100- ECI116.1
- Price$0.05 / $0.10
- Context131K
MetaLlama-3.1-8B-Instruct
46/100- ECI116.6
- Price$0.152 / $0.167
- Context128K
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Gemma 3 4B IT is our pick
Gemma 3 4B IT is the better all-round choice, scoring 53/100 against Llama-3.1-8B-Instruct (46). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityLlama-3.1-8B-InstructCapabilities Index (ECI): Llama-3.1-8B-Instruct 116.6 · Gemma 3 4B IT 116.1
- Lowest priceGemma 3 4B ITGemma 3 4B IT $0.063 · Llama-3.1-8B-Instruct $0.156 per 1M tokens (3:1 blend)
- Longest contextGemma 3 4B ITGemma 3 4B IT 131,072 · Llama-3.1-8B-Instruct 128,000 tokens
- Widest inputsGemma 3 4B ITGemma 3 4B IT: Text, Images · Llama-3.1-8B-Instruct: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Gemma 3 4B IT | Llama-3.1-8B-Instruct |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 35 | 36 |
| Price | 25% | 100 | 88 |
| Inputs & features | 15% | 50 | 25 |
| Context window | 10% | 24 | 24 |
| Overall | 100% | 53/100 | 46/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemma 3 4B ITGoogle | Llama-3.1-8B-InstructMeta |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 116.1 | 116.6 (best) |
| ECI rank | #146 of 148 | #145 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 23.2% | 27.0% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 7.5% (best) | 1.7% |
| Price per million tokens | ||
| Input | $0.05 (best) | $0.152 |
| Output | $0.10 (best) | $0.167 |
| Cached input | — | — |
| Blended (3:1) | $0.063 (best) | $0.156 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 7 providers | Median of 9 providers |
| Limits | ||
| Context window | 131,072 tokens (best) | 128,000 tokens |
| Max output | 131,072 tokens (best) | 4,096 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | — | — |
| API providers | 7 | 9 (best) |
| Released | Mar 12, 2025 | Jul 23, 2024 |
| Knowledge cutoff | Aug 2024 | Dec 2023 |
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
- Llama-3.1-8B-Instruct$1.85
Which should you choose?
Which is better: Gemma 3 4B IT or Llama-3.1-8B-Instruct?
Gemma 3 4B IT is the better all-round choice, scoring 53/100 against Llama-3.1-8B-Instruct (46). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Gemma 3 4B IT or Llama-3.1-8B-Instruct?
Gemma 3 4B IT is cheaper at $0.05 input / $0.10 output per million tokens (median across 7 API providers). Llama-3.1-8B-Instruct costs $0.152 input / $0.167 output per million tokens (median across 9 API providers). 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 $0.156 for Llama-3.1-8B-Instruct (2.5× as much).
Which scores higher on benchmarks?
Llama-3.1-8B-Instruct scores higher on the Capabilities Index (ECI): Llama-3.1-8B-Instruct 116.6 (#145 of 148) and Gemma 3 4B IT 116.1 (#146 of 148). The confidence ranges of the top two overlap (106.3–121.6 vs 97.7–124.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Llama-3.1-8B-Instruct 27.0%, Gemma 3 4B IT 23.2%; OTIS Mock AIME 2024–2025 — Gemma 3 4B IT 7.5%, Llama-3.1-8B-Instruct 1.7%.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 3 4B IT and Llama-3.1-8B-Instruct yet, so there is no like-for-like coding score. On overall capability, Llama-3.1-8B-Instruct 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?
Gemma 3 4B IT has the largest context window at 131,072 tokens, against 128,000 for Llama-3.1-8B-Instruct. Maximum output per response: Gemma 3 4B IT up to 131,072, Llama-3.1-8B-Instruct up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Gemma 3 4B IT accepts text and images; Llama-3.1-8B-Instruct accepts text. Gemma 3 4B IT handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Gemma 3 4B IT is the newest, released Mar 12, 2025. Llama-3.1-8B-Instruct came out Jul 23, 2024. Knowledge cutoff: Gemma 3 4B IT Aug 2024, Llama-3.1-8B-Instruct Dec 2023.
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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