Llama-3.3-70B-Instruct vs Gemma 3 27B IT
Gemma 3 27B IT comes out ahead, 57 to 45 on our weighted score, and it is the cheaper option too.
Meta
Llama-3.3-70B-Instruct
45/100- ECI127.3
- Price$0.59 / $0.753
- Context128K
- Our pick
Google
Gemma 3 27B IT
57/100- ECI129.9
- Price$0.11 / $0.30
- Context131K
Add a model
Make it a three-way comparison.
Gemma 3 27B IT is our pick
Gemma 3 27B IT is the better all-round choice, scoring 57/100 against Llama-3.3-70B-Instruct (45). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGemma 3 27B ITCapabilities Index (ECI): Gemma 3 27B IT 129.9 · Llama-3.3-70B-Instruct 127.3
- Lowest priceGemma 3 27B ITGemma 3 27B IT $0.157 · Llama-3.3-70B-Instruct $0.631 per 1M tokens (3:1 blend)
- Longest contextGemma 3 27B ITGemma 3 27B IT 131,072 · Llama-3.3-70B-Instruct 128,000 tokens
- Widest inputsGemma 3 27B ITLlama-3.3-70B-Instruct: Text · Gemma 3 27B IT: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Llama-3.3-70B-Instruct | Gemma 3 27B IT |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 49 | 52 |
| Price | 25% | 57 | 84 |
| Inputs & features | 15% | 25 | 50 |
| Context window | 10% | 24 | 25 |
| Overall | 100% | 45/100 | 57/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 127.3 | 129.9 (best) |
| ECI rank | #146 of 165 | #137 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 47.4% | 47.7% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 5.1% | 22.5% (best) |
| Price per million tokens | ||
| Input | $0.59 | $0.11 (best) |
| Output | $0.753 | $0.30 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.631 | $0.157 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 37 providers | Median of 16 providers |
| Limits | ||
| Context window | 128,000 tokens | 131,072 tokens (best) |
| Max output | 4,096 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| 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 | 40 (best) | 17 |
| Released | Dec 6, 2024 | Mar 12, 2025 |
| Knowledge cutoff | Dec 2023 | Aug 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Llama-3.3-70B-Instruct$7.41
Gemma 3 27B IT$1.69
Which should you choose?
Which is better: Llama-3.3-70B-Instruct or Gemma 3 27B IT?
Gemma 3 27B IT is the better all-round choice, scoring 57/100 against Llama-3.3-70B-Instruct (45). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Llama-3.3-70B-Instruct or Gemma 3 27B IT?
Gemma 3 27B IT is cheaper at $0.11 input / $0.30 output per million tokens (median across 16 API providers). 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 $0.157 per million tokens for Gemma 3 27B IT versus $0.631 for Llama-3.3-70B-Instruct (4× as much).
Which scores higher on benchmarks?
Gemma 3 27B IT scores higher on the Capabilities Index (ECI): Gemma 3 27B IT 129.9 (#137 of 165) and Llama-3.3-70B-Instruct 127.3 (#146 of 165). The confidence ranges of the top two overlap (124.2–132.1 vs 122.7–129.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemma 3 27B IT 47.7%, Llama-3.3-70B-Instruct 47.4%; OTIS Mock AIME 2024–2025 — Gemma 3 27B IT 22.5%, Llama-3.3-70B-Instruct 5.1%.
Which is better for coding?
There are no published SWE-bench Verified results for Llama-3.3-70B-Instruct and Gemma 3 27B IT yet, so there is no like-for-like coding score. On overall capability, Gemma 3 27B IT 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 27B IT has the largest context window at 131,072 tokens, against 128,000 for Llama-3.3-70B-Instruct. Maximum output per response: Llama-3.3-70B-Instruct up to 4,096, Gemma 3 27B IT up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Llama-3.3-70B-Instruct accepts text; Gemma 3 27B IT accepts text and images. Gemma 3 27B 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 27B IT is the newest, released Mar 12, 2025. Llama-3.3-70B-Instruct came out Dec 6, 2024. Knowledge cutoff: Llama-3.3-70B-Instruct Dec 2023, Gemma 3 27B IT Aug 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 Nov 2, 2026.