Llama-3.1-8B-Instruct vs Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite comes out ahead, 71 to 46 on our weighted score, though Llama-3.1-8B-Instruct is 11% cheaper per token.
Meta
Llama-3.1-8B-Instruct
46/100- ECI116.6
- Price$0.152 / $0.167
- Context128K
- Our pick
Google
Gemini 2.5 Flash-Lite
71/100- ECI133.9
- Price$0.10 / $0.40
- Context1.05M
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Gemini 2.5 Flash-Lite is our pick
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 71/100 against Llama-3.1-8B-Instruct (46). It leads on capability, inputs & features and context window. Llama-3.1-8B-Instruct wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGemini 2.5 Flash-LiteCapabilities Index (ECI): Gemini 2.5 Flash-Lite 133.9 · Llama-3.1-8B-Instruct 116.6
- Lowest priceLlama-3.1-8B-InstructLlama-3.1-8B-Instruct $0.156 · Gemini 2.5 Flash-Lite $0.175 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · Llama-3.1-8B-Instruct 128,000 tokens
- Widest inputsGemini 2.5 Flash-LiteLlama-3.1-8B-Instruct: Text · Gemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video
- Self-hostingLlama-3.1-8B-InstructPublishes downloadable weights
| Measure | Weight | Llama-3.1-8B-Instruct | Gemini 2.5 Flash-Lite |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 36 | 58 |
| Price | 25% | 88 | 86 |
| Inputs & features | 15% | 25 | 100 |
| Context window | 10% | 24 | 61 |
| Overall | 100% | 46/100 | 71/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 116.6 | 133.9 (best) |
| ECI rank | #145 of 148 | #118 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 27.0% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 1.7% | — |
| Price per million tokens | ||
| Input | $0.152 | $0.10 (best) |
| Output | $0.167 (best) | $0.40 |
| Cached input | — | $0.01 |
| Blended (3:1) | $0.156 (best) | $0.175 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 9 providers | Official Google API |
| Limits | ||
| Context window | 128,000 tokens | 1,048,576 tokens (best) |
| Max output | 4,096 tokens | 65,536 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | Yes |
| Video | No | Yes |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | — | gemini-2.5-flash-lite |
| API providers | 9 | 20 (best) |
| Released | Jul 23, 2024 | Jun 17, 2025 |
| Knowledge cutoff | 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.
Llama-3.1-8B-Instruct$1.85
Gemini 2.5 Flash-Lite$1.80
Which should you choose?
Which is better: Llama-3.1-8B-Instruct or Gemini 2.5 Flash-Lite?
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 71/100 against Llama-3.1-8B-Instruct (46). It leads on capability, inputs & features and context window. Llama-3.1-8B-Instruct wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Llama-3.1-8B-Instruct or Gemini 2.5 Flash-Lite?
Llama-3.1-8B-Instruct is cheaper at $0.152 input / $0.167 output per million tokens (median across 9 API providers). Gemini 2.5 Flash-Lite costs $0.10 input / $0.40 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $0.156 per million tokens for Llama-3.1-8B-Instruct versus $0.175 for Gemini 2.5 Flash-Lite (1.1× as much).
Which scores higher on benchmarks?
Gemini 2.5 Flash-Lite scores higher on the Capabilities Index (ECI): Gemini 2.5 Flash-Lite 133.9 (#118 of 148) and Llama-3.1-8B-Instruct 116.6 (#145 of 148). Their confidence ranges do not overlap (129.8–136.3 vs 106.3–121.6), so the gap is a real one.
Which is better for coding?
There are no published SWE-bench Verified results for Llama-3.1-8B-Instruct and Gemini 2.5 Flash-Lite yet, so there is no like-for-like coding score. On overall capability, Gemini 2.5 Flash-Lite 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 2.5 Flash-Lite has the largest context window at 1,048,576 tokens, against 128,000 for Llama-3.1-8B-Instruct. Maximum output per response: Llama-3.1-8B-Instruct up to 4,096, Gemini 2.5 Flash-Lite up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Llama-3.1-8B-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?
Llama-3.1-8B-Instruct publishes its weights and can be self-hosted; Gemini 2.5 Flash-Lite is proprietary.
Which is newer?
Gemini 2.5 Flash-Lite is the newest, released Jun 17, 2025. Llama-3.1-8B-Instruct came out Jul 23, 2024. Knowledge cutoff: Llama-3.1-8B-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 Oct 4, 2026.