Model comparison
Mercury 2.5 vs Mixtral 8x7B
Mercury 2.5 is the stronger model overall, scoring 33.5 to 27.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in coding, where Mercury 2.5 leads 39.5 to 32.8.
- Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
- Mercury 2.5 accepts more context: 260K tokens versus 32K.
- Mixtral 8x7B has downloadable open weights; the other is API-only.
Side by side
| Mercury 2.5 | Mixtral 8x7B | |
|---|---|---|
| Provider | Inception | Mistral AI |
| Noometry Index | 33.5 | 27.1 |
| Released | 2026-09-08 | 2023-12-11 |
| Weights | Proprietary | Open |
| Context window | 260K | 32K |
| Max output | 66K | 32K |
| Input $ / M tokens | $0.04 | $0.70 |
| Output $ / M tokens | $0.15 | $0.70 |
| Results tracked | 4 | 38 |
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Category by category
Coding Mercury 2.5 leads
Mercury 2.5: 39.5 (#156), Mixtral 8x7B: 32.8 (#269)
| Benchmark | Mercury 2.5 | Mixtral 8x7B |
|---|---|---|
| SciCode | 38.5% | — |
| LMArena Coding | — | 1126 |
| ALE-Bench | 301.65 | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |
Reasoning Mercury 2.5 leads
Mercury 2.5: 22.4 (#193), Mixtral 8x7B: 18.2 (#285)
| Benchmark | Mercury 2.5 | Mixtral 8x7B |
|---|---|---|
| CritPt | 0% | — |
| LMArena Hard Prompts | — | 1115 |
| DTBench | — | 49.6% |
| Adversarial NLI | — | 55.2% |
| Epoch Capabilities Index | — | 118.47 |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |
Math Mercury 2.5 leads
Mercury 2.5: 23.3 (#272), Mixtral 8x7B: 18.8 (#289)
| Benchmark | Mercury 2.5 | Mixtral 8x7B |
|---|---|---|
| ProofBench | 3% | — |
| Omni-MATH | — | 10.5% |
| LMArena Math | — | 1147 |
| MATH Level 5 | — | 10% |
| GSM8K | — | 74.4% |
Knowledge Not comparable
Mercury 2.5: —, Mixtral 8x7B: 11.0 (#301)
| Benchmark | Mercury 2.5 | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | — | 30.6% |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| LMArena Expert | — | 1088 |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |
Multilingual Not comparable
Mercury 2.5: —, Mixtral 8x7B: 29.6 (#266)
| Benchmark | Mercury 2.5 | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | — | 1077 |
| LMArena Chinese | — | 1055 |
| LMArena French | — | 1166 |
| LMArena German | — | 1114 |
| LMArena Japanese | — | 931 |
| LMArena Korean | — | 968 |
| LMArena Russian | — | 1090 |
| LMArena Spanish | — | 1111 |
Instruction Following Not comparable
Mercury 2.5: —, Mixtral 8x7B: 51.0 (#297)
| Benchmark | Mercury 2.5 | Mixtral 8x7B |
|---|---|---|
| IFEval | — | 57.5% |
| LMArena Instruction Following | — | 1109 |
Long Context Not comparable
Mercury 2.5: —, Mixtral 8x7B: 33.4 (#260)
| Benchmark | Mercury 2.5 | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | — | 1103 |
Writing & Preference Not comparable
Mercury 2.5: —, Mixtral 8x7B: 34.2 (#270)
| Benchmark | Mercury 2.5 | Mixtral 8x7B |
|---|---|---|
| LMArena Text | — | 1132 |
| LMArena Creative Writing | — | 1109 |
| WildBench | — | 67.3% |
| LMArena Multi-Turn | — | 1115 |
Frequently asked questions
Is Mercury 2.5 better than Mixtral 8x7B?
Mercury 2.5 is the stronger model overall, scoring 33.5 to 27.1 on the Noometry Index.
Which is cheaper, Mercury 2.5 or Mixtral 8x7B?
Mercury 2.5 is cheaper. It lists at $0.04 per million input tokens and $0.15 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.
Is Mercury 2.5 or Mixtral 8x7B better for coding?
Mercury 2.5 scores higher on coding benchmarks: 39.5 versus 32.8 in the Noometry coding category.
Which has the bigger context window?
Mercury 2.5 does, with 260K tokens against 32K.
How many benchmarks do Mercury 2.5 and Mixtral 8x7B share?
0 benchmarks have published results for both models. Mercury 2.5 has 4 scored results on Noometry and Mixtral 8x7B has 38.