Hermes 3 70B Instruct vs Qwen-Plus
Hermes 3 70B Instruct and Qwen-Plus cost about the same per output token ($0.70 vs $0.78 per million). Updated October 23, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.70
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.78
Hermes 3 70B Instruct or Qwen-Plus: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Hermes 3 70B Instruct for output tokens 1.1x cheaper ($0.70 vs $0.78 per million).
No benchmark has tested both yet. Hermes 3 70B Instruct has results on LiveCodeBench (Artificial Analysis run), AA Intelligence Index and GPQA Diamond (Artificial Analysis run); Qwen-Plus on LMArena Text: coding, LMArena Text: software and IT and GPQA Diamond (Epoch AI run). Compare them on price and context instead.
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
No call
Only Hermes 3 70B Instruct has a AA Intelligence Index result, 6.7.
Directional only
Long documents
Listed context window
Qwen-Plus
Qwen-Plus takes 1M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen-Plus
Hermes 3 70B Instruct $0.0010, Qwen-Plus $0.0006 per turn.
List prices
At a glance
- Coding index
- Hermes 3 70B Instruct not benchmarked, Qwen-Plus not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Hermes 3 70B Instruct $0.70 against Qwen-Plus $0.78 per million output tokens, 1.1x apart.
- Context window
- Hermes 3 70B Instruct takes 131K tokens, Qwen-Plus 1M.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index3 boards measured
| Benchmark | Hermes 3 70B Instruct | Qwen-Plus | Leader |
|---|---|---|---|
| LiveCodeBench (Artificial Analysis run) | 18.8% | Not measured | Only Hermes 3 70B Instruct measured |
| LMArena Text: coding | Not measured | 1328 | Only Qwen-Plus measured |
| LMArena Text: software and IT | Not measured | 1343 | Only Qwen-Plus measured |
| Neither model has a result on the other 40 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Hermes 3 70B Instruct | Qwen-Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 6.7 | Not measured | Only Hermes 3 70B Instruct measured |
| Neither model has a result on the other 1 board here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
| Benchmark | Hermes 3 70B Instruct | Qwen-Plus | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 40.1% | Not measured | Only Hermes 3 70B Instruct measured |
| Humanity's Last Exam (Artificial Analysis run) | 4.0% | Not measured | Only Hermes 3 70B Instruct measured |
| GPQA Diamond (Epoch AI run) | Not measured | 48.1% | Only Qwen-Plus measured |
| LMArena Text: hard prompts | Not measured | 1316 | Only Qwen-Plus measured |
| LMArena Text: expert | Not measured | 1328 | Only Qwen-Plus measured |
| LMArena Text: hard prompts in English | Not measured | 1333 | Only Qwen-Plus measured |
| Neither model has a result on the other 17 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Hermes 3 70B Instruct | Qwen-Plus | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 17.8% | Only Qwen-Plus measured |
| MATH level 5 | Not measured | 65.3% | Only Qwen-Plus measured |
| LMArena Text: math | Not measured | 1326 | Only Qwen-Plus measured |
| LMArena Text: mathematical work | Not measured | 1332 | Only Qwen-Plus measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Hermes 3 70B Instruct | Qwen-Plus | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 57.1% | Not measured | Only Hermes 3 70B Instruct measured |
| LMArena Text: science | Not measured | 1352 | Only Qwen-Plus measured |
| LMArena Text: medicine and healthcare | Not measured | 1350 | Only Qwen-Plus measured |
| LMArena Text: legal and government | Not measured | 1349 | Only Qwen-Plus measured |
| LMArena Text: business and finance | Not measured | 1303 | Only Qwen-Plus measured |
| Neither model has a result on the other 15 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index14 boards measured
| Benchmark | Hermes 3 70B Instruct | Qwen-Plus | Leader |
|---|---|---|---|
| DTBench | Not measured | 81.1% | Only Qwen-Plus measured |
| LMCA | Not measured | 24.0% | Only Qwen-Plus measured |
| LMArena Text | Not measured | 1326 | Only Qwen-Plus measured |
| LMArena Text: instruction following | Not measured | 1303 | Only Qwen-Plus measured |
| LMArena Text: creative writing | Not measured | 1292 | Only Qwen-Plus measured |
| LMArena Text: English | Not measured | 1338 | Only Qwen-Plus measured |
| LMArena Text: non-English | Not measured | 1310 | Only Qwen-Plus measured |
| LMArena Text: Chinese | Not measured | 1347 | Only Qwen-Plus measured |
| LMArena Text: Japanese | Not measured | 1251 | Only Qwen-Plus measured |
| LMArena Text: Russian | Not measured | 1323 | Only Qwen-Plus measured |
| LMArena Text: multi-turn | Not measured | 1336 | Only Qwen-Plus measured |
| LMArena Text: longer queries | Not measured | 1324 | Only Qwen-Plus measured |
| LMArena Text: writing and language | Not measured | 1296 | Only Qwen-Plus measured |
| LMArena Text: entertainment and media | Not measured | 1270 | Only Qwen-Plus measured |
| Neither model has a result on the other 34 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
Qwen-Plus costs less
Repository review
50K input + 3K output tokens
Qwen-Plus costs less
Agent loop
200K input + 10K output tokens
Qwen-Plus 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 | Nous Hermes 3 70B Instruct | Qwen-Plus |
|---|---|---|
| Maker | Nous Research | Qwen |
| Weights | Open weights | No public weights listed |
| Released | August 18, 2024 | February 1, 2025 |
| Context window | 131K | 1M |
| Input $/Mtok | $0.70 | $0.26 |
| Output $/Mtok | $0.70 | $0.78 |
| 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 Hermes 3 70B Instruct better than Qwen-Plus for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Hermes 3 70B Instruct for output tokens 1.1x cheaper ($0.70 vs $0.78 per million).
Which is cheaper, Hermes 3 70B Instruct or Qwen-Plus?
Hermes 3 70B Instruct costs $0.70 per million input tokens and $0.70 per million output tokens; Qwen-Plus costs $0.26 and $0.78. Cost per solved task is known for neither of them.
Which has the bigger context window, Hermes 3 70B Instruct or Qwen-Plus?
Qwen-Plus, with 1M tokens against 131K.
Has any benchmark tested both Hermes 3 70B Instruct and Qwen-Plus?
No benchmark has tested both yet. Hermes 3 70B Instruct has results on LiveCodeBench (Artificial Analysis run), AA Intelligence Index and GPQA Diamond (Artificial Analysis run); Qwen-Plus on LMArena Text: coding, LMArena Text: software and IT and GPQA Diamond (Epoch AI run). Compare them on price and context instead. Data as of October 23, 2026.