Llama 3.1 8B Instruct vs Step 3.5 Flash
Updated October 21, 2026. 34 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Llama 3.1 8B Instruct has the edge where output tokens cost 3.8x less, and where what matters is Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.
- Shared results
- 34
- Llama 3.1 8B Instruct only
- 16
- Step 3.5 Flash only
- 1
- Like-for-like categories
- 7 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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
Step 3.5 Flash
Step 3.5 Flash leads, 17.0 against 6.9.
Same board, both measured
Long documents
Listed context window
Step 3.5 Flash
Step 3.5 Flash takes 262K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 3.1 8B Instruct
Llama 3.1 8B Instruct $0.0001, Step 3.5 Flash $0.0003 per turn.
List prices
At a glance
- Coding index
- Llama 3.1 8B Instruct not benchmarked, Step 3.5 Flash not benchmarked.
- Widest category
- Agentic work, 78.1 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Llama 3.1 8B Instruct 16.4% against Step 3.5 Flash 94.4%, 78.1 points apart on a 0 to 100 scale.
- Output price
- Llama 3.1 8B Instruct $0.08 against Step 3.5 Flash $0.30 per million output tokens, 3.8x apart.
- Context window
- Llama 3.1 8B Instruct takes 131K tokens, Step 3.5 Flash 262K.
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 | Llama 3.1 8B Instruct | Bars | Step 3.5 Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 18 | ||
| All shared boards | 0 | 34 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
| Benchmark | Llama 3.1 8B Instruct | Step 3.5 Flash | Leader |
|---|---|---|---|
| AA Coding Index | 5.4 | Not measured | Only Llama 3.1 8B Instruct measured |
| LiveCodeBench (Artificial Analysis run) | 11.6% | Not measured | Only Llama 3.1 8B Instruct measured |
| Terminal-Bench Hard (Artificial Analysis run) | 0.8% | 32.6% | Step 3.5 Flash |
| WeirdML | 1.7% | Not measured | Only Llama 3.1 8B Instruct measured |
| LMArena Text: coding | 1195 | 1436 | Step 3.5 Flash |
| LMArena Text: software and IT | 1195 | 1434 | Step 3.5 Flash |
| Neither model has a result on the other 32 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Llama 3.1 8B Instruct | Step 3.5 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 6.9 | 17.0 | Step 3.5 Flash |
| Epoch Capabilities Index | 116.5 | Not measured | Only Llama 3.1 8B Instruct measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Llama 3.1 8B Instruct | Step 3.5 Flash | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 16.4% | 94.4% | Step 3.5 Flash |
| BALROG | 15.1% | Not measured | Only Llama 3.1 8B Instruct measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Llama 3.1 8B Instruct | Step 3.5 Flash | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 25.9% | 83.1% | Step 3.5 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 5.3% | 24.5% | Step 3.5 Flash |
| GPQA Diamond (Epoch AI run) | 27.0% | Not measured | Only Llama 3.1 8B Instruct measured |
| LMArena Text: hard prompts | 1175 | 1411 | Step 3.5 Flash |
| LMArena Text: expert | 1144 | 1421 | Step 3.5 Flash |
| LMArena Text: hard prompts in English | 1196 | 1421 | Step 3.5 Flash |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Llama 3.1 8B Instruct | Step 3.5 Flash | Leader |
|---|---|---|---|
| AA Math Index | 4.3 | Not measured | Only Llama 3.1 8B Instruct measured |
| AIME 2025 (Artificial Analysis run) | 4.3% | Not measured | Only Llama 3.1 8B Instruct measured |
| OTIS Mock AIME | 1.7% | Not measured | Only Llama 3.1 8B Instruct measured |
| MATH level 5 | 22.9% | Not measured | Only Llama 3.1 8B Instruct measured |
| GSM8K | 82.4% | Not measured | Only Llama 3.1 8B Instruct measured |
| LMArena Text: math | 1179 | 1408 | Step 3.5 Flash |
| LMArena Text: mathematical work | 1180 | 1421 | Step 3.5 Flash |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Llama 3.1 8B Instruct | Step 3.5 Flash | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 47.6% | Not measured | Only Llama 3.1 8B Instruct measured |
| MMLU | 56.1% | Not measured | Only Llama 3.1 8B Instruct measured |
| LMArena Text: science | 1193 | 1415 | Step 3.5 Flash |
| LMArena Text: medicine and healthcare | 1182 | 1408 | Step 3.5 Flash |
| LMArena Text: legal and government | 1206 | 1408 | Step 3.5 Flash |
| LMArena Text: business and finance | 1166 | 1394 | Step 3.5 Flash |
| Neither model has a result on the other 11 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Llama 3.1 8B Instruct | Step 3.5 Flash | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
| Benchmark | Llama 3.1 8B Instruct | Step 3.5 Flash | Leader |
|---|---|---|---|
| IFBench | 28.6% | 66.5% | Step 3.5 Flash |
| Long context reasoning (AA-LCR) | 18.0% | 63.0% | Step 3.5 Flash |
| DTBench | 50.9% | Not measured | Only Llama 3.1 8B Instruct measured |
| LMCA | 5.4% | Not measured | Only Llama 3.1 8B Instruct measured |
| PIQA | 81.2% | Not measured | Only Llama 3.1 8B Instruct measured |
| LMArena Text | 1187 | 1403 | Step 3.5 Flash |
| LMArena Text: instruction following | 1159 | 1385 | Step 3.5 Flash |
| LMArena Text: creative writing | 1154 | 1357 | Step 3.5 Flash |
| LMArena Text: English | 1218 | 1417 | Step 3.5 Flash |
| LMArena Text: non-English | 1148 | 1385 | Step 3.5 Flash |
| LMArena Text: Chinese | 1151 | 1446 | Step 3.5 Flash |
| LMArena Text: German | 1144 | 1405 | Step 3.5 Flash |
| LMArena Text: Japanese | 1061 | 1353 | Step 3.5 Flash |
| LMArena Text: Korean | 1053 | 1351 | Step 3.5 Flash |
| LMArena Text: French | 1178 | 1421 | Step 3.5 Flash |
| LMArena Text: Spanish | 1169 | 1419 | Step 3.5 Flash |
| LMArena Text: Russian | 1158 | 1385 | Step 3.5 Flash |
| LMArena Text: Polish | Not measured | 1389 | Only Step 3.5 Flash measured |
| LMArena Text: multi-turn | 1172 | 1404 | Step 3.5 Flash |
| LMArena Text: longer queries | 1181 | 1402 | Step 3.5 Flash |
| LMArena Text: writing and language | 1162 | 1372 | Step 3.5 Flash |
| LMArena Text: entertainment and media | 1145 | 1360 | Step 3.5 Flash |
| 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 | Llama 3.1 8B Instruct | Step 3.5 Flash | 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
Llama 3.1 8B Instruct costs less
Repository review
50K input + 3K output tokens
Llama 3.1 8B Instruct costs less
Agent loop
200K input + 10K output tokens
Llama 3.1 8B Instruct 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 | Meta Llama 3.1 8B Instruct | StepFun Step 3.5 Flash |
|---|---|---|
| Maker | Meta Llama | StepFun |
| Weights | Open weights | Open weights |
| Released | July 23, 2024 | January 29, 2026 |
| Context window | 131K | 262K |
| Input $/Mtok | $0.05 | $0.10 |
| Output $/Mtok | $0.08 | $0.30 |
| 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 Llama 3.1 8B Instruct better than Step 3.5 Flash for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Llama 3.1 8B Instruct has the edge where output tokens cost 3.8x less, and where what matters is Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.
Which is cheaper, Llama 3.1 8B Instruct or Step 3.5 Flash?
Llama 3.1 8B Instruct costs $0.05 per million input tokens and $0.08 per million output tokens; Step 3.5 Flash costs $0.10 and $0.30. Cost per solved task is known for neither of them.
Which has the bigger context window, Llama 3.1 8B Instruct or Step 3.5 Flash?
Step 3.5 Flash, with 262K tokens against 131K.
How many benchmarks is the Llama 3.1 8B Instruct vs Step 3.5 Flash comparison based on?
34 benchmarks have a result for both models as of October 21, 2026. Llama 3.1 8B Instruct's coding index rests on 0 independent benchmarks and Step 3.5 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.