Mistral Medium 3.1 vs Palmyra X5 vs Qwen3 Coder Plus
Too close to call on our weighted score (Mistral Medium 3.1 50, Palmyra X5 48, Qwen3 Coder Plus 37). The right pick depends on what you value most.
Mistral AIMistral Medium 3.1
50/100- ECI—
- Price$0.40 / $2.00
- Context262K
Writer
Palmyra X5
48/100- ECI—
- Price$0.60 / $6.00
- Context1M
Alibaba (Qwen)Qwen3 Coder Plus
37/100- ECI—
- Price$1.00 / $5.00
- Context1.05M
Too close to call
It is close. Our weighted score puts them within 1 points (Mistral Medium 3.1 50/100, Palmyra X5 48/100, Qwen3 Coder Plus 37/100), so choose by what matters most for your work: Mistral Medium 3.1 on price and Qwen3 Coder Plus for long inputs. 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 priceMistral Medium 3.1Mistral Medium 3.1 $0.80 · Palmyra X5 $1.95 · Qwen3 Coder Plus $2.00 per 1M tokens (3:1 blend)
- Longest contextQwen3 Coder PlusQwen3 Coder Plus 1,048,576 · Palmyra X5 1,000,000 · Mistral Medium 3.1 262,144 tokens
- Widest inputsMistral Medium 3.1 and Palmyra X5Mistral Medium 3.1: Text, Images · Palmyra X5: Text, Images · Qwen3 Coder Plus: Text
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Mistral Medium 3.1 | Palmyra X5 | Qwen3 Coder Plus |
|---|---|---|---|---|
| Price | 50% | 54 | 36 | 36 |
| Inputs & features | 30% | 50 | 60 | 25 |
| Context window | 20% | 37 | 60 | 61 |
| Overall | 100% | 50/100 | 48/100 | 37/100 |
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 | Mistral Medium 3.1Mistral AI | Palmyra X5Writer | Qwen3 Coder PlusAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.40 (best) | $0.60 | $1.00 |
| Output | $2.00 (best) | $6.00 | $5.00 |
| Cached input | — | — | — |
| Blended (3:1) | $0.80 (best) | $1.95 | $2.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 1 providers | Official Alibaba API |
| Limits | |||
| Context window | 262,144 tokens | 1,000,000 tokens | 1,048,576 tokens (best) |
| Max output | 262,144 tokens (best) | 8,192 tokens | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | mistral-medium-2508 | — | qwen3-coder-plus |
| API providers | 1 | 1 | 11 (best) |
| Released | Aug 12, 2025 | Apr 28, 2025 | Jul 23, 2025 |
| Knowledge cutoff | May 2025 | — | Apr 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Mistral Medium 3.1$8.00
- Palmyra X5$18.00
- Qwen3 Coder Plus$20.00
Which should you choose?
Which is better: Mistral Medium 3.1, Palmyra X5 or Qwen3 Coder Plus?
It is close. Our weighted score puts them within 1 points (Mistral Medium 3.1 50/100, Palmyra X5 48/100, Qwen3 Coder Plus 37/100), so choose by what matters most for your work: Mistral Medium 3.1 on price and Qwen3 Coder Plus for long inputs. 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, Mistral Medium 3.1, Palmyra X5 or Qwen3 Coder Plus?
Mistral Medium 3.1 is cheaper at $0.40 input / $2.00 output per million tokens (official Mistral API price). Palmyra X5 costs $0.60 input / $6.00 output per million tokens (median across 1 API provider); Qwen3 Coder Plus costs $1.00 input / $5.00 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.80 per million tokens for Mistral Medium 3.1 versus $1.95 for Palmyra X5 (2.4× as much) and $2.00 for Qwen3 Coder Plus (2.5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Mistral Medium 3.1 has not been scored yet, Palmyra X5 has not been scored yet and Qwen3 Coder Plus has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Medium 3.1, Palmyra X5 and Qwen3 Coder Plus yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Qwen3 Coder Plus has the largest context window at 1,048,576 tokens, against 1,000,000 for Palmyra X5 and 262,144 for Mistral Medium 3.1. Maximum output per response: Mistral Medium 3.1 up to 262,144, Palmyra X5 up to 8,192, Qwen3 Coder Plus up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Mistral Medium 3.1 accepts text and images; Palmyra X5 accepts text and images; Qwen3 Coder Plus accepts text. Mistral Medium 3.1 handles the widest range of inputs.
Are any of these open source?
No. Mistral Medium 3.1, Palmyra X5 and Qwen3 Coder Plus are proprietary and only available through APIs and apps.
Which is newer?
Mistral Medium 3.1 is the newest, released Aug 12, 2025. Qwen3 Coder Plus came out Jul 23, 2025; Palmyra X5 came out Apr 28, 2025. Knowledge cutoff: Mistral Medium 3.1 May 2025, Qwen3 Coder Plus Apr 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.
