Gemini 2.5 Flash Lite vs Llama 3.1 70B Instruct
Gemini 2.5 Flash Lite leads Llama 3.1 70B Instruct on the Artificial Analysis Intelligence Index, 10.4 to 6.6, and Gemini 2.5 Flash Lite costs 1.4x less per output token ($0.40 vs $0.56 per million). Updated October 21, 2026; 13 benchmarks have a result for both.
Gemini 2.5 Flash Lite or Llama 3.1 70B Instruct: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Gemini 2.5 Flash Lite for output tokens 1.4x cheaper ($0.40 vs $0.56 per million) and a larger context window (1.05M against 131K tokens).
- Shared results
- 13
- Gemini 2.5 Flash Lite only
- 17
- Llama 3.1 70B Instruct only
- 34
- Like-for-like categories
- 7 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite leads, 10.4 against 6.6.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Gemini 2.5 Flash Lite has a GPQA Diamond result, 70.2%.
Directional only
Math
AIME
No call
Only Gemini 2.5 Flash Lite has a AIME result, 42.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 2.5 Flash Lite has a MMLU Pro result, 79.1%.
Directional only
Long documents
Listed context window
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite takes 1.05M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite $0.0003, Llama 3.1 70B Instruct $0.0008 per turn.
List prices
At a glance
- Coding index
- Gemini 2.5 Flash Lite not benchmarked, Llama 3.1 70B Instruct not benchmarked.
- Widest category
- Math, 49.3 points apart on average over 2 shared benchmarks.
- Widest single gap
- AIME 2025 (Artificial Analysis run): Gemini 2.5 Flash Lite 53.3% against Llama 3.1 70B Instruct 4.0%, 49.3 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Flash Lite $0.40 against Llama 3.1 70B Instruct $0.56 per million output tokens, 1.4x apart.
- Context window
- Gemini 2.5 Flash Lite takes 1.05M tokens, Llama 3.1 70B Instruct 131K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Gemini 2.5 Flash Lite | Bars | Llama 3.1 70B Instruct | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 2 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 1 | 0 | ||
| General | 3 | 0 | ||
| All shared boards | 13 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | Gemini 2.5 Flash Lite | Llama 3.1 70B Instruct | Leader |
|---|---|---|---|
| LiveCodeBench (Vals AI) | 71.4% | Not measured | Only Gemini 2.5 Flash Lite measured |
| LiveCodeBench (Artificial Analysis run) | 59.3% | 23.2% | Gemini 2.5 Flash Lite |
| Terminal-Bench Hard (Artificial Analysis run) | 4.5% | 3.0% | Gemini 2.5 Flash Lite |
| WeirdML | Not measured | 9.0% | Only Llama 3.1 70B Instruct measured |
| LMArena Text: coding | Not measured | 1260 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: software and IT | Not measured | 1260 | Only Llama 3.1 70B Instruct measured |
| Neither model has a result on the other 33 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 2.5 Flash Lite | Llama 3.1 70B Instruct | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.4 | 6.6 | Gemini 2.5 Flash Lite |
| Epoch Capabilities Index | 133.8 | 125.9 | Gemini 2.5 Flash Lite |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 2.5 Flash Lite | Llama 3.1 70B Instruct | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 19.0% | 15.2% | Gemini 2.5 Flash Lite |
| BALROG | Not measured | 27.9% | Only Llama 3.1 70B Instruct measured |
| TheAgentCompany | Not measured | 6.9% | Only Llama 3.1 70B Instruct measured |
| Berkeley Function Calling Leaderboard (BFCL) | 36.9% | Not measured | Only Gemini 2.5 Flash Lite measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 2.5 Flash Lite | Llama 3.1 70B Instruct | Leader |
|---|---|---|---|
| GPQA Diamond | 70.2% | Not measured | Only Gemini 2.5 Flash Lite measured |
| MMMU Pro (Vals AI) | 75.4% | Not measured | Only Gemini 2.5 Flash Lite measured |
| GPQA Diamond (Artificial Analysis run) | 62.5% | 40.9% | Gemini 2.5 Flash Lite |
| Humanity's Last Exam (Artificial Analysis run) | 6.8% | 4.5% | Gemini 2.5 Flash Lite |
| GPQA Diamond (Epoch AI run) | Not measured | 44.2% | Only Llama 3.1 70B Instruct measured |
| LMArena Text: hard prompts | Not measured | 1241 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: expert | Not measured | 1209 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: hard prompts in English | Not measured | 1261 | Only Llama 3.1 70B Instruct measured |
| Kagi LLM Benchmark | 40.5% | Not measured | Only Gemini 2.5 Flash Lite measured |
| Neither model has a result on the other 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 2.5 Flash Lite | Llama 3.1 70B Instruct | Leader |
|---|---|---|---|
| AIME | 42.1% | Not measured | Only Gemini 2.5 Flash Lite measured |
| MGSM (Vals AI) | 89.5% | Not measured | Only Gemini 2.5 Flash Lite measured |
| AA Math Index | 53.3 | 4.0 | Gemini 2.5 Flash Lite |
| AIME 2025 (Artificial Analysis run) | 53.3% | 4.0% | Gemini 2.5 Flash Lite |
| OTIS Mock AIME | Not measured | 3.6% | Only Llama 3.1 70B Instruct measured |
| MATH level 5 | Not measured | 36.7% | Only Llama 3.1 70B Instruct measured |
| LMArena Text: math | Not measured | 1252 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: mathematical work | Not measured | 1253 | Only Llama 3.1 70B Instruct measured |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 2.5 Flash Lite | Llama 3.1 70B Instruct | Leader |
|---|---|---|---|
| MMLU Pro | 79.1% | Not measured | Only Gemini 2.5 Flash Lite measured |
| LegalBench (Vals AI) | 82.0% | Not measured | Only Gemini 2.5 Flash Lite measured |
| CorpFin (Vals AI) | 57.6% | Not measured | Only Gemini 2.5 Flash Lite measured |
| TaxEval (Vals AI) | 66.2% | Not measured | Only Gemini 2.5 Flash Lite measured |
| MortgageTax (Vals AI) | 57.6% | Not measured | Only Gemini 2.5 Flash Lite measured |
| MedQA (Vals AI) | 88.9% | Not measured | Only Gemini 2.5 Flash Lite measured |
| MedCode (Vals AI) | 34.2% | Not measured | Only Gemini 2.5 Flash Lite measured |
| MMLU Pro (Artificial Analysis run) | 75.9% | 67.6% | Gemini 2.5 Flash Lite |
| MMLU | Not measured | 80.1% | Only Llama 3.1 70B Instruct measured |
| LMArena Text: science | Not measured | 1276 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: medicine and healthcare | Not measured | 1257 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: legal and government | Not measured | 1283 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: business and finance | Not measured | 1235 | Only Llama 3.1 70B Instruct measured |
| Neither model has a result on the other 5 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 Flash Lite | Llama 3.1 70B Instruct | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Gemini 2.5 Flash Lite | Llama 3.1 70B Instruct | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 30.8% | Not measured | Only Gemini 2.5 Flash Lite measured |
| MedScribe (Vals AI) | 75.8% | Not measured | Only Gemini 2.5 Flash Lite measured |
| IFBench | 49.9% | 34.4% | Gemini 2.5 Flash Lite |
| Long context reasoning (AA-LCR) | 55.7% | Not measured | Only Gemini 2.5 Flash Lite measured |
| DTBench | 62.8% | 60.0% | Gemini 2.5 Flash Lite |
| LMCA | 18.1% | 14.8% | Gemini 2.5 Flash Lite |
| LMArena Text | Not measured | 1261 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: instruction following | Not measured | 1231 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: creative writing | Not measured | 1232 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: English | Not measured | 1294 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: non-English | Not measured | 1219 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: Chinese | Not measured | 1215 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: German | Not measured | 1222 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: Japanese | Not measured | 1132 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: Korean | Not measured | 1140 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: French | Not measured | 1262 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: Spanish | Not measured | 1253 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: Russian | Not measured | 1234 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: multi-turn | Not measured | 1256 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: longer queries | Not measured | 1241 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: writing and language | Not measured | 1236 | Only Llama 3.1 70B Instruct measured |
| LMArena Text: entertainment and media | Not measured | 1230 | Only Llama 3.1 70B Instruct measured |
| Neither model has a result on the other 24 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 Flash Lite | Llama 3.1 70B Instruct | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Gemini 2.5 Flash Lite costs less
Repository review
50K input + 3K output tokens
Gemini 2.5 Flash Lite costs less
Agent loop
200K input + 10K output tokens
Gemini 2.5 Flash Lite costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Google Gemini 2.5 Flash Lite | Meta Llama 3.1 70B Instruct |
|---|---|---|
| Maker | Meta Llama | |
| Weights | No public weights listed | Open weights |
| Released | July 22, 2025 | July 23, 2024 |
| Context window | 1.05M | 131K |
| Input $/Mtok | $0.10 | $0.56 |
| Output $/Mtok | $0.40 | $0.56 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Flash Lite better than Llama 3.1 70B Instruct for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash Lite for output tokens 1.4x cheaper ($0.40 vs $0.56 per million) and a larger context window (1.05M against 131K tokens).
Which is cheaper, Gemini 2.5 Flash Lite or Llama 3.1 70B Instruct?
Gemini 2.5 Flash Lite costs $0.10 per million input tokens and $0.40 per million output tokens; Llama 3.1 70B Instruct costs $0.56 and $0.56. Cost per solved task is known for neither of them.
Which has the bigger context window, Gemini 2.5 Flash Lite or Llama 3.1 70B Instruct?
Gemini 2.5 Flash Lite, with 1.05M tokens against 131K.
How many benchmarks is the Gemini 2.5 Flash Lite vs Llama 3.1 70B Instruct comparison based on?
13 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash Lite's coding index rests on 0 independent benchmarks and Llama 3.1 70B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.