Qwen-MT Plus vs Llama-3.1-8B-Instruct
Llama-3.1-8B-Instruct comes out ahead, 56 to 12 on our weighted score, and it is the cheaper option too.
Alibaba (Qwen)Qwen-MT Plus
12/100- ECI—
- Price$2.46 / $7.37
- Context16K
- Our pick
MetaLlama-3.1-8B-Instruct
56/100- ECI116.6
- Price$0.152 / $0.167
- Context128K
Add a model
Make it a three-way comparison.
Llama-3.1-8B-Instruct is our pick
Llama-3.1-8B-Instruct is the better all-round choice, scoring 56/100 against Qwen-MT Plus (12). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceLlama-3.1-8B-InstructLlama-3.1-8B-Instruct $0.156 · Qwen-MT Plus $3.69 per 1M tokens (3:1 blend)
- Longest contextLlama-3.1-8B-InstructLlama-3.1-8B-Instruct 128,000 · Qwen-MT Plus 16,384 tokens
- Widest inputsSame inputsQwen-MT Plus: Text · Llama-3.1-8B-Instruct: Text
- Self-hostingLlama-3.1-8B-InstructPublishes downloadable weights
| Measure | Weight | Qwen-MT Plus | Llama-3.1-8B-Instruct |
|---|---|---|---|
| Price | 50% | 23 | 88 |
| Inputs & features | 30% | 0 | 25 |
| Context window | 20% | 0 | 24 |
| Overall | 100% | 12/100 | 56/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Qwen-MT PlusAlibaba (Qwen) | Llama-3.1-8B-InstructMeta |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 116.6 |
| ECI rank | — | #145 of 148 |
| GPQA DiamondGraduate-level science questions | — | 27.0% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 1.7% |
| Price per million tokens | ||
| Input | $2.46 | $0.152 (best) |
| Output | $7.37 | $0.167 (best) |
| Cached input | — | — |
| Blended (3:1) | $3.69 | $0.156 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Alibaba API | Median of 9 providers |
| Limits | ||
| Context window | 16,384 tokens | 128,000 tokens (best) |
| Max output | 8,192 tokens (best) | 4,096 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | No | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | qwen-mt-plus | — |
| API providers | 1 | 9 (best) |
| Released | Jan 2025 | Jul 23, 2024 |
| Knowledge cutoff | Apr 2024 | Dec 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Qwen-MT Plus$39.34
- Llama-3.1-8B-Instruct$1.85
Which should you choose?
Which is better: Qwen-MT Plus or Llama-3.1-8B-Instruct?
Llama-3.1-8B-Instruct is the better all-round choice, scoring 56/100 against Qwen-MT Plus (12). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Qwen-MT Plus or Llama-3.1-8B-Instruct?
Llama-3.1-8B-Instruct is cheaper at $0.152 input / $0.167 output per million tokens (median across 9 API providers). Qwen-MT Plus costs $2.46 input / $7.37 output per million tokens (official Alibaba 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 $3.69 for Qwen-MT Plus (24× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen-MT Plus has not been scored yet and Llama-3.1-8B-Instruct has an ECI of 116.6.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen-MT Plus and Llama-3.1-8B-Instruct yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Qwen-MT Plus does not support tool calling, which most coding agents need.
Which has the bigger context window?
Llama-3.1-8B-Instruct has the largest context window at 128,000 tokens, against 16,384 for Qwen-MT Plus. Maximum output per response: Qwen-MT Plus up to 8,192, Llama-3.1-8B-Instruct up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Qwen-MT Plus accepts text; Llama-3.1-8B-Instruct accepts text. They handle the same number of input types.
Are any of these open source?
Llama-3.1-8B-Instruct publishes its weights and can be self-hosted; Qwen-MT Plus is proprietary.
Which is newer?
Qwen-MT Plus is the newest, released Jan 2025. Llama-3.1-8B-Instruct came out Jul 23, 2024. Knowledge cutoff: Qwen-MT Plus Apr 2024, Llama-3.1-8B-Instruct Dec 2023.
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.
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